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Matthews, Chris, and mikewood@deakin edu au. "Fuzzy concepts and formal methods." Deakin University. School of Management Information Systems, 2001. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20051201.154843.
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It has been recognised that formal methods are useful as a modelling tool in requirements engineering. Specification languages such as Z permit the precise and unambiguous modelling of system properties and behaviour. However some system problems, particularly those drawn from the information systems problem domain, may be difficult to model in crisp or precise terms. It may also be desirable that formal modelling should commence as early as possible, even when our understanding of parts of the problem domain is only approximate. This thesis suggests fuzzy set theory as a possible representation scheme for this imprecision or approximation. A fuzzy logic toolkit that defines the operators, measures and modifiers necessary for the manipulation of fuzzy sets and relations is developed. The toolkit contains a detailed set of laws that demonstrate the properties of the definitions when applied to partial set membership. It also provides a set of laws that establishes an isomorphism between the toolkit notation and that of conventional Z when applied to boolean sets and relations. The thesis also illustrates how the fuzzy logic toolkit can be applied in the problem domains of interest. Several examples are presented and discussed including the representation of imprecise concepts as fuzzy sets and relations, system requirements as a series of linguistically quantified propositions, the modelling of conflict and agreement in terms of fuzzy sets and the partial specification of a fuzzy expert system. The thesis concludes with a consideration of potential areas for future research arising from the work presented here.
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Kudri, Soraya Rosana Torres. "L-fuzzy compactness and related concepts." Thesis, City University London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283158.
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Abd, Rahim Noor Hafhizah. "Comparing and compressing fuzzy concepts : methods and application." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.682484.
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In recent years, the volume of data has risen so rapidly due to the Internet and World Wide Web development. This phenomenon called information overload or digital obesity has caused data explosion and may lead to storage problems in the future. Many forms of data are stored and transmitted via internet including textual data. Textual data, which is usually in unstructured form can be processed or mined to yield useful information. In order to represent that, we need to know the underlying concepts. The most suitable approach to model the concepts is to design an ontology. Formal Concept Analysis (FCA) is complementary to the ontology approach, and provides a hierarchical structure of the concepts. However, an ontology is a fixed structure which does not change; in contrast, data is typically updated from day to day. The focus of this research is quantifying the changes in the content and structure of these concept hierarchies. it is beneficial if we quantify the changes. There are two types of measurements. The first measures the changes between two lattices which have identical sets of objects, but disjoint sets of attributes. We pair the overlapped concepts and compute the cost to transform each concept to its counterpart. We adapt the Levenstein distance to measure the changes. The second is Support-based Distance measurement, where we quantify the change in two lattices which have different sets of objects but the same set of attributes. We compute the support (or relative cardinality) for each concept's extension. Nowadays, online shopping becomes more common, and many customers, retailers, and manufacturers give attention to the product reviews. Because of that, we apply both measurements to an illustrative application using product review datasets. We monitor the differences between positive and negative sentiment orientations based on a product over fixed period of time using Edit Distance measurement. Additionally, we track the changes between lattices which represent the sentiment orientation on a product in two different time periods using Support-based Distance measurement. The phenomenon of information overload leads to problems using FCA, as it can be difficult to read the lattices and very costly to compute them. These large datasets are often high-dimensional datasets. We enhance an approach to select the important dimensions using Principal Component Analysis (PCA) through the Singular Value Decomposition (SVD) method, so that FCA computation becomes more tractable.
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Weiss, Christian. "Games with fuzzy coalitions: concepts based on the Choquet extension." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=968578438.
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Badrul, Omar. "A fuzzy approach to support DFA evaluation of design concepts." Thesis, University of Leeds, 2008. http://etheses.whiterose.ac.uk/5789/.
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Design evaluation form one of the more important aspects in determining whether it has met the initial requirements. Post design evaluations however are less advantageous than those made in the earlier stage of design, since it provides for ample opportunity to make less costly changes to the design. During conceptual design stage, the knowledge and information about the design is often vague and incomplete and this makes evaluation even more difficult. At present there are not enough tools to support the designer to make evaluations on design concepts. This thesis presents an approach which will support designer doing evaluation on design concepts by incorporating DF A criteria into the evaluating tool. The criteria most useful at that stage would be the part count reduction analysis. The handling of the information and knowledge at this conceptual stage will be handled by a fuzzy logic expert system. A demonstration on the usefulness of fuzzy logic together with the part count analysis was done on two case studies. The first use the approach to demonstrate the way it can support the designers at the concepts selection stage and the second examines the redesign of an existing product. The result of the case studies shows that it is possible to integrate the use of fuzzy logic with DF A in providing support to the designer in doing design concepts evaluation. This approach also highlights the ability of fuzzy logic in representing information and knowledge at this conceptual stage in the form of fuzzy sets.
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Bowyer, Richard Scott. "A transputer-based inferencing system using fuzzy logic concepts : design and implementation /." Title page, contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09ENS/09ensb788.pdf.
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Lucic, Panta. "Modeling Transportation Problems Using Concepts of Swarm Intelligence and Soft Computing." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/26396.
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Many real-world problems could be formulated in a way to fit the necessary form for discrete optimization. Discrete optimization problems can be solved by numerous different techniques that have developed over time. Some of the techniques provide optimal solution(s) to the problem and some of them give â good enoughâ solution(s). The fundamental reason for developing techniques capable of producing solutions that are not necessarily optimal is the fact that many discrete optimization problems are NP-complete. Metaheuristic algorithms are a common name for a set of general-purpose techniques developed to provide solution(s) to the problems associated with discrete optimization. Mostly the techniques are based on natural metaphors. Discrete optimization could be applied to countless problems in transportation engineering.
Recently, researchers started studying the behavior of social insects (ants) in an attempt to use the swarm intelligence concept to develop artificial systems with the ability to search a problemâ s solution space in a way that is similar to the foraging search by a colony of social insects. The development of artificial systems does not entail the complete imitation of natural systems, but explores them in search of ideas for modeling.
This research is partially devoted to the development of a new system based on the foraging behavior of bee colonies â Bee System. The Bee System was tested through many instances of the Traveling Salesman Problem.
Many transportation-engineering problems, besides being of combinatorial nature, are characterized by uncertainty. In order to address these problems, the second part of the research is devoted to development of the algorithms that combine the existing results in the area of swarm intelligence (The Ant System) and approximate reasoning. The proposed approach â Fuzzy Ant System is tested on the following two examples: Stochastic Vehicle Routing Problem and Schedule Synchronization in Public Transit.Ph. D.
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Henn, Julian. "The electron density a bridge between exact quantum mechanics and fuzzy chemical concepts /." Doctoral thesis, [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971615535.
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Lotan, Tsippy. "Modeling route choice behavior in the presence of information using concepts from fuzzy set theory and approximate reasoning." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12901.
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Jadidi, Mardkheh Amaneh. "Towards development of fuzzy spatial datacubes : fundamental concepts with example for multidimensional coastal erosion risk assessment and representation." Doctoral thesis, Université Laval, 2014. http://hdl.handle.net/20.500.11794/25589.
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Les systèmes actuels de base de données géodécisionnels (GeoBI) ne tiennent généralement pas compte de l'incertitude liée à l'imprécision et le flou des objets; ils supposent que les objets ont une sémantique, une géométrie et une temporalité bien définies et précises. Un exemple de cela est la représentation des zones à risque par des polygones avec des limites bien définies. Ces polygones sont créés en utilisant des agrégations d'un ensemble d'unités spatiales définies sur soit des intérêts des organismes responsables ou les divisions de recensement national. Malgré la variation spatio-temporelle des multiples critères impliqués dans l’analyse du risque, chaque polygone a une valeur unique de risque attribué de façon homogène sur l'étendue du territoire. En réalité, la valeur du risque change progressivement d'un polygone à l'autre. Le passage d'une zone à l'autre n'est donc pas bien représenté avec les modèles d’objets bien définis (crisp). Cette thèse propose des concepts fondamentaux pour le développement d'une approche combinant le paradigme GeoBI et le concept flou de considérer la présence de l’incertitude spatiale dans la représentation des zones à risque. En fin de compte, nous supposons cela devrait améliorer l’analyse du risque. Pour ce faire, un cadre conceptuel est développé pour créer un model conceptuel d’une base de donnée multidimensionnelle avec une application pour l’analyse du risque d’érosion côtier. Ensuite, une approche de la représentation des risques fondée sur la logique floue est développée pour traiter l'incertitude spatiale inhérente liée à l'imprécision et le flou des objets. Pour cela, les fonctions d'appartenance floues sont définies en basant sur l’indice de vulnérabilité qui est un composant important du risque. Au lieu de déterminer les limites bien définies entre les zones à risque, l'approche proposée permet une transition en douceur d'une zone à une autre. Les valeurs d'appartenance de plusieurs indicateurs sont ensuite agrégées basées sur la formule des risques et les règles SI-ALORS de la logique floue pour représenter les zones à risque. Ensuite, les éléments clés d'un cube de données spatiales floues sont formalisés en combinant la théorie des ensembles flous et le paradigme de GeoBI. En plus, certains opérateurs d'agrégation spatiale floue sont présentés. En résumé, la principale contribution de cette thèse se réfère de la combinaison de la théorie des ensembles flous et le paradigme de GeoBI. Cela permet l’extraction de connaissances plus compréhensibles et appropriées avec le raisonnement humain à partir de données spatiales et non-spatiales. Pour ce faire, un cadre conceptuel a été proposé sur la base de paradigme GéoBI afin de développer un cube de données spatiale floue dans le system de Spatial Online Analytical Processing (SOLAP) pour évaluer le risque de l'érosion côtière. Cela nécessite d'abord d'élaborer un cadre pour concevoir le modèle conceptuel basé sur les paramètres de risque, d'autre part, de mettre en œuvre l’objet spatial flou dans une base de données spatiales multidimensionnelle, puis l'agrégation des objets spatiaux flous pour envisager à la représentation multi-échelle des zones à risque. Pour valider l'approche proposée, elle est appliquée à la région Perce (Est du Québec, Canada) comme une étude de cas.Current Geospatial Business Intelligence (GeoBI) systems typically do not take into account the uncertainty related to vagueness and fuzziness of objects; they assume that the objects have well-defined and exact semantics, geometry, and temporality. Representation of fuzzy zones by polygons with well-defined boundaries is an example of such approximation. This thesis uses an application in Coastal Erosion Risk Analysis (CERA) to illustrate the problems. CERA polygons are created using aggregations of a set of spatial units defined by either the stakeholders’ interests or national census divisions. Despite spatiotemporal variation of the multiple criteria involved in estimating the extent of coastal erosion risk, each polygon typically has a unique value of risk attributed homogeneously across its spatial extent. In reality, risk value changes gradually within polygons and when going from one polygon to another. Therefore, the transition from one zone to another is not properly represented with crisp object models. The main objective of the present thesis is to develop a new approach combining GeoBI paradigm and fuzzy concept to consider the presence of the spatial uncertainty in the representation of risk zones. Ultimately, we assume this should improve coastal erosion risk assessment. To do so, a comprehensive GeoBI-based conceptual framework is developed with an application for Coastal Erosion Risk Assessment (CERA). Then, a fuzzy-based risk representation approach is developed to handle the inherent spatial uncertainty related to vagueness and fuzziness of objects. Fuzzy membership functions are defined by an expert-based vulnerability index. Instead of determining well-defined boundaries between risk zones, the proposed approach permits a smooth transition from one zone to another. The membership values of multiple indicators (e.g. slop and elevation of region under study, infrastructures, houses, hydrology network and so on) are then aggregated based on risk formula and Fuzzy IF-THEN rules to represent risk zones. Also, the key elements of a fuzzy spatial datacube are formally defined by combining fuzzy set theory and GeoBI paradigm. In this regard, some operators of fuzzy spatial aggregation are also formally defined. The main contribution of this study is combining fuzzy set theory and GeoBI. This makes spatial knowledge discovery more understandable with human reasoning and perception. Hence, an analytical conceptual framework was proposed based on GeoBI paradigm to develop a fuzzy spatial datacube within Spatial Online Analytical Processing (SOLAP) to assess coastal erosion risk. This necessitates developing a framework to design a conceptual model based on risk parameters, implementing fuzzy spatial objects in a spatial multi-dimensional database, and aggregating fuzzy spatial objects to deal with multi-scale representation of risk zones. To validate the proposed approach, it is applied to Perce region (Eastern Quebec, Canada) as a case study.
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Ayouni, Sarra. "Etude et Extraction de règles graduelles floues : définition d'algorithmes efficaces." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20015/document.
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L'Extraction de connaissances dans les bases de données est un processus qui vise à extraire un ensemble réduit de connaissances à fortes valeurs ajoutées à partir d'un grand volume de données. La fouille de données, l'une des étapes de ce processus, regroupe un certain nombre de taches, telles que : le clustering, la classification, l'extraction de règles d'associations, etc.La problématique d'extraction de règles d'association nécessite l'étape d'extraction de motifs fréquents. Nous distinguons plusieurs catégories de motifs : les motifs classiques, les motifs flous, les motifs graduels, les motifs séquentiels. Ces motifs diffèrent selon le type de données à partir desquelles l'extraction est faite et selon le type de corrélation qu'ils présentent.Les travaux de cette thèse s'inscrivent dans le contexte d'extraction de motifs graduels, flous et clos. En effet, nous définissons de nouveaux systèmes de clôture de la connexion de Galois relatifs, respectivement, aux motifs flous et graduels. Ainsi, nous proposons des algorithmes d'extraction d'un ensemble réduit pour les motifs graduels et les motifs flous.Nous proposons également deux approches d'extraction de motifs graduels flous, ceci en passant par la génération automatique des fonctions d'appartenance des attributs.En se basant sur les motifs flous clos et graduels clos, nous définissons des bases génériques de toutes les règles d'association graduelles et floues. Nous proposons également un système d'inférence complet et valide de toutes les règles à partir de ces basesKnowledge discovery in databases is a process aiming at extracting a reduced set of valuable knowledge from a huge amount of data. Data mining, one step of this process, includes a number of tasks, such as clustering, classification, of association rules mining, etc.The problem of mining association rules requires the step of frequent patterns extraction. We distinguish several categories of frequent patterns: classical patterns, fuzzy patterns, gradual patterns, sequential patterns, etc. All these patterns differ on the type of the data from which the extraction is done and the type of the relationship that represent.In this thesis, we particularly contribute with the proposal of fuzzy and gradual patterns extraction method.Indeed, we define new systems of closure of the Galois connection for, respectively, fuzzy and gradual patterns. Thus, we propose algorithms for extracting a reduced set of fuzzy and gradual patterns.We also propose two approaches for automatically defining fuzzy modalities that allow obtaining relevant fuzzy gradual patterns.Based on fuzzy closed and gradual closed patterns, we define generic bases of fuzzy and gradual association rules. We thus propose a complet and valid inference system to derive all redundant fuzzy and gradual association rules
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Jeppsson, Lina. "Vad är hållbar havsplanering? : Synen på hållbarhet på nationell och kommunal nivå." Thesis, Blekinge Tekniska Högskola, Institutionen för fysisk planering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14439.
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Havsplanering sker på både nationell och kommunal nivå och båda planeringsnivåer strävar mot målet hållbar utveckling. Kommuner och stat planerar samma havsområde varför det är önskvärt att planeringen stämmer överens. Uppsatsens syfte är att därför att undersöka hur hållbarhet konstrueras på de två planeringsnivåerna och om det finns förutsättningar för överensstämmelse. Genom en fallstudie studeras fallen Kristianstads kommuns havsområde och Norra Bohusläns kommuners havsområde. Dessa kommuners havsområden omfattas av såväl kommunala som nationella havsplaner. De nationella planerna har tagits fram av den statliga myndigheten Havs- och vattenmyndigheten. Dokumentstudier och semistrukturerade intervjuer genomförs för att ta reda på hur hållbarhet konstrueras. Resultatet är att hållbarhet innebär att havet måste bevaras, men också användas. Hållbarhet innebär att använda havets resurser men att göra det försiktigt och att bevara naturen. På den nationella nivån syns ett något större fokus på bevarande. Detta utgör den största skillnaden i synsätt på de två planeringsnivåerna. Gällande de kunskapssyner som ligger bakom så är den nationella nivån influerad av såväl planparadigmet som miljöparadigmet. Det går inte att avgöra vilket paradigm som dominerar. På den kommunala nivån dominerar planparadigmet. Avvägningar mellan olika intressen är mycket centralt på båda nivåer och konstruktionerna av hållbarhet är likartade på de två nivåerna. Det finns förutsättningar för överensstämmelse.
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Dao, Ngoc Bich. "Réduction de dimension de sac de mots visuels grâce à l’analyse formelle de concepts." Thesis, La Rochelle, 2017. http://www.theses.fr/2017LAROS010/document.
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La réduction des informations redondantes et/ou non-pertinentes dans la description de données est une étape importante dans plusieurs domaines scientifiques comme les statistiques, la vision par ordinateur, la fouille de données ou l’apprentissage automatique. Dans ce manuscrit, nous abordons la réduction de la taille des signatures des images par une méthode issue de l’Analyse Formelle de Concepts (AFC), qui repose sur la structure du treillis des concepts et la théorie des treillis. Les modèles de sac de mots visuels consistent à décrire une image sous forme d’un ensemble de mots visuels obtenus par clustering. La réduction de la taille des signatures des images consiste donc à sélectionner certains de ces mots visuels. Dans cette thèse, nous proposons deux algorithmes de sélection d’attributs (mots visuels) qui sont utilisables pour l’apprentissage supervisé ou non. Le premier algorithme, RedAttSansPerte, ne retient que les attributs qui correspondent aux irréductibles du treillis. En effet, le théorème fondamental de la théorie des treillis garantit que la structure du treillis des concepts est maintenue en ne conservant que les irréductibles. Notre algorithme utilise un graphe d’attributs, le graphe de précédence, où deux attributs sont en relation lorsque les ensembles d’objets à qui ils appartiennent sont inclus l’un dans l’autre. Nous montrons par des expérimentations que la réduction par l’algorithme RedAttsSansPerte permet de diminuer le nombre d’attributs tout en conservant de bonnes performances de classification. Le deuxième algorithme, RedAttsFloue, est une extension de l’algorithme RedAttsSansPerte. Il repose sur une version approximative du graphe de précédence. Il s’agit de supprimer les attributs selon le même principe que l’algorithme précédent, mais en utilisant ce graphe flou. Un seuil de flexibilité élevé du graphe flou entraîne mécaniquement une perte d’information et de ce fait une baisse de performance de la classification. Nous montrons par des expérimentations que la réduction par l’algorithme RedAttsFloue permet de diminuer davantage l’ensemble des attributs sans diminuer de manière significative les performances de classificationIn several scientific fields such as statistics, computer vision and machine learning, redundant and/or irrelevant information reduction in the data description (dimension reduction) is an important step. This process contains two different categories : feature extraction and feature selection, of which feature selection in unsupervised learning is hitherto an open question. In this manuscript, we discussed about feature selection on image datasets using the Formal Concept Analysis (FCA), with focus on lattice structure and lattice theory. The images in a dataset were described as a set of visual words by the bag of visual words model. Two algorithms were proposed in this thesis to select relevant features and they can be used in both unsupervised learning and supervised learning. The first algorithm was the RedAttSansPerte, which based on lattice structure and lattice theory, to ensure its ability to remove redundant features using the precedence graph. The formal definition of precedence graph was given in this thesis. We also demonstrated their properties and the relationship between this graph and the AC-poset. Results from experiments indicated that the RedAttsSansPerte algorithm reduced the size of feature set while maintaining their performance against the evaluation by classification. Secondly, the RedAttsFloue algorithm, an extension of the RedAttsSansPerte algorithm, was also proposed. This extension used the fuzzy precedence graph. The formal definition and the properties of this graph were demonstrated in this manuscript. The RedAttsFloue algorithm removed redundant and irrelevant features while retaining relevant information according to the flexibility threshold of the fuzzy precedence graph. The quality of relevant information was evaluated by the classification. The RedAttsFloue algorithm is suggested to be more robust than the RedAttsSansPerte algorithm in terms of reduction
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Bonfim, Tatiane Regina. "Escalonamento memetico e neuro-memetico de tarefas." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260503.
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Orientador: Akebo YamakamiTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-06T10:47:10Z (GMT). No. of bitstreams: 1 Bonfim_TatianeRegina_D.pdf: 1154007 bytes, checksum: 1b6dd7bc9c2e3eef16c1e3258710730c (MD5) Previous issue date: 2006
Resumo: Este trabalho apresenta uma nova abordagem de resolução, por algoritmo memético e pela coevolução de algoritmo memético com redes neurais, para o problema de escalonamento de tarefas em máquinas paralelas idênticas e para o problema de job shop com parâmetros precisos. Para os problemas de escalonamento com parâmetros com incertezas, onde os parâmetros não são precisamente conhecidos, toma-se dificil classificar um determinado escalonamento ótimo. A noção de ótimo também torna-se imprecisa e o grau de otimalidade de um dado escalonamento ("o quanto um escalonamento é ótimo") pode ser caracterizada por um número fuzzy. Foi aplicado também o conceito de otimalidade possível para medir a possibilidade de um determinado escalonamento ser ótimo. O algoritmo memético foi aplicado para encontrar soluções para o problema, a rede neural foi aplicada para encontrar a função de fitness das soluções encontradas pelo algoritmo memético, e o conceito de possibilidade foi aplicado para avaliar as melhores soluções. Foram utilizadas as redes neurais backpropagation e com aprendizado por reforço para encontrar o valor da função de fitness. As simulações mostraram que as redes neurais apresentaram uma boa performance na coevolução com o algoritmo memético e na resolução dos problemas, e mostraram que o conceito de possibilidade teve uma boa perfomance na avaliação da otimalidade das soluções
Abstract: This work presents a new approach for the resolution of the problem of identical parallel machine scheduling and job shop scheduling with precise parameters, with memetic algorithm and memetic algorithm coevolving with neural networks. For problems with parameters with uncertainties, where the parameters of the problem are not precisely known, it is difficult to say in prior which schedule will be optimal. The notion of optimal also becomes imprecise and the degree of optimality of a given schedule ("how much a schedule is optimal") can be characterized by a fuzzy number. We was used also the concepts of possibility to measure the possibility of a given schedule be optimal. Memetic algorithm has been used to find the solutions of the problem, the neural network has been used to find the fitness function of these solutions, and the concept of possibility has been used to evaluate the best solutions. We was used neural networks with backpropagation and reinforcement learning to find the fitness function. Simulations showed that the neural networks presents a good performance in the coevolution of the memetic algorithm and in the resolution of the problems, and showed that the concept of possibility present a good performance in the evaluation of solutions optimality
Doutorado
Telecomunicações e Telemática
Doutor em Engenharia Elétrica
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Soo, Houng Y. "Towards the Development of a Decision Support System for Emergency Vehicle Preemption and Transit Signal Priority Investment Planning." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/27204.
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Advances in microprocessor and communications technologies are making it possible to deploy advanced traffic signal controllers capable of integrating emergency vehicle preemption and transit priority operations. However, investment planning for such an integrated system is not a trivial task. Investment planning for such a system requires a holistic approach that considers institutional, technical and financial issues from a systems perspective. Two distinct service providers, fire and rescue providers and transit operators, with separate operational functions, objectives, resources and constituents are involved. Performance parameters for the integrated system are not well defined and performance data are often imprecise in nature.
Transportation planners and managers interested in deploying integrated emergency vehicle preemption and traffic priority systems do not have an evaluation approach or a common set of performance metrics to make an informed decision. There is a need for a simple structured analytical approach and tools to assess the impacts of an integrated emergency vehicle preemption and transit priority system as part of investment decision making processes. This need could be met with the assistance of a decision support system (DSS) developed to provide planners and managers a simple and intuitive analytical approach to assist in making investment decisions regarding emergency vehicle preemption and transit signal priority.
This dissertation has two research goals: (1) to develop a decision support system framework to assess the impacts of advanced traffic signal control systems capable of integrating emergency vehicle preemption and transit signal priority operations for investment planning purposes; and (2) to develop selected analytical tools for incorporation into the decision support system framework. These analytical tools will employ fuzzy sets theory concepts, as well as cost and accident reduction factors. As part of this research, analytical tools to assess impacts on operating cost for transit and fire and rescue providers have been developed. In addition, an analytical tool was developed and employs fuzzy multi-attribute decision making methods to rank alternative transit priority strategies. These analytical tools are proposed for incorporation into the design of a decision support system in the future.Ph. D.
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Mai, Ngoc Anh [Verfasser], Klaus [Gutachter] Janschek, Matthias [Akademischer Betreuer] Hennig, Sylvia [Akademischer Betreuer] Horn, and Frank [Akademischer Betreuer] Schnitzer. "Optischer fluss-basierte Perzeption, verhaltensbasierte Steuerung und topologische Pfadplanung für mobile Roboter unter Nutzung von Fuzzy-Logik : Optical flow-based perception, behavior-based control, and topological path planning for mobile robots using fuzzy logic concepts / Ngoc Anh Mai ; Gutachter: Klaus Janschek ; Matthias Hennig, Sylvia Horn, Frank Schnitzer." Dresden : Technische Universität Dresden, 2021. http://d-nb.info/1231917415/34.
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Elliott, Jonathan. "On the fuzzy concept complex." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/18342/.
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Every relation between posets gives rise to an adjunction, known as a Galois connection, between the corresponding power sets. Formal concept analysis (FCA) studies the fixed points of these adjunctions, which can be interpreted as latent “concepts” [20], [19]. In [47] Pavlovic defines a generalisation of posets he calls proximity sets (or proxets), which are equivalent to the generalised metric spaces of Lawvere [37], and introduces a form of quantitative concept analysis (QCA) which provides a different viewpoint from other approaches to fuzzy concept analysis (for a survey see [4]). The nucleus of a fuzzy relation between proxets is defined in terms of the fixed points of a naturally arising adjunction based on the given relation, generalising the Galois connections of formal concept analysis. By giving the unit interval [0, 1] an appropriate category structure it can be shown that proxets are simply [0, 1]-enriched categories and the nuclues of a proximity relation between proxets is a generalisation of the notion of the Isbell completion of an enriched category. We prove that the sets of fixed points of an adjunction arising from a fuzzy relation can be given the structure of complete idempotent semimodules and show that they are isomorphic to tropical convex hulls of point configurations in tropical projective space, in which addition and scalar multiplication are replaced with pointwise minima and addition, respectively. We show that some the results of Develin and Sturmfels on tropical convex sets [13] can be applied to give the nucleus of a proximity relation the structure of a cell complex, which we term the fuzzy concept complex. We provide a formula for counting cells of a given dimension in generic situations. We conclude with some thoughts on computing the fuzzy concept complex using ideas from Ardila and Develin’s work on tropical oriented matroids [1].
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Kanade, Parag M. "Fuzzy ants as a clustering concept." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000397.
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Majidian, Andrei. "Measuring distance between fuzzy concept lattices." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.683402.
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In data analysis, the arrangement of data in a hierarchical structure is an important technique for describing the relationships between data items. Formal concept analysis has been established as a mathematical tool for organising data into a hierarchical lattice-based structure, and the use of fuzzy formal concept analysis to produce a fuzzy lattice has been proposed as a way to model the imprecision and the vagueness inherent in many data sets. In a dynamic environment the relationship between data items may shift over time, and consequently the lattice generated from the new data may differ from the original. This thesis will be concerned with development of a metric measure that gauges the edit-distance between two fuzzy concepts and thereby two fuzzy lattices. Whilst it is possible to deal with a fuzzy context directly, a simpler approach is to discretise objects membership along the unit interval based on fuzzy entries for each attribute. We shall present a method to transform a fuzzy context to an equivalent crisp context that produces a lattice which is isomorphic to the lattice that emerges from the original fuzzy context. Fuzzy formal concept analysis can generate a large number of concepts some of which are very similar. This thesis will present an approach to factor out some of these smaller concepts utilising the edit-distance measure between the concepts. For a coarse classification of data, often a distance based clustering such as k-means clustering is used, we shall use formal fuzzy concept analysis along with the notion of the edit-distance to find the nearest concept to each cluster and thereby find the semantic definition of each cluster based on their attributes.
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Patel, Chintan. "Evaluating Trench Safety Using Fuzzy Logic Concept and Fuzzy Set Models." The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1419353000.
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Borgwardt, Stefan. "Fuzzy Description Logics with General Concept Inclusions." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-145311.
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Description logics (DLs) are used to represent knowledge of an application domain and provide standard reasoning services to infer consequences of this knowledge. However, classical DLs are not suited to represent vagueness in the description of the knowledge. We consider a combination of DLs and Fuzzy Logics to address this task. In particular, we consider the t-norm-based semantics for fuzzy DLs introduced by Hájek in 2005. Since then, many tableau algorithms have been developed for reasoning in fuzzy DLs. Another popular approach is to reduce fuzzy ontologies to classical ones and use existing highly optimized classical reasoners to deal with them. However, a systematic study of the computational complexity of the different reasoning problems is so far missing from the literature on fuzzy DLs. Recently, some of the developed tableau algorithms have been shown to be incorrect in the presence of general concept inclusion axioms (GCIs). In some fuzzy DLs, reasoning with GCIs has even turned out to be undecidable. This work provides a rigorous analysis of the boundary between decidable and undecidable reasoning problems in t-norm-based fuzzy DLs, in particular for GCIs. Existing undecidability proofs are extended to cover large classes of fuzzy DLs, and decidability is shown for most of the remaining logics considered here. Additionally, the computational complexity of reasoning in fuzzy DLs with semantics based on finite lattices is analyzed. For most decidability results, tight complexity bounds can be derived.
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Al-Khalidi, Aous Nahad. "Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041809.
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Kandasamy, Meenakshi. "Approaches to Creating Fuzzy Concept Lattices and an Application to Bioinformatics Annotations." Miami University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=miami1293821656.
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au, skhor@iinet net, and Sebastian Wankun Khor. "A Fuzzy Knowledge Map Framework for Knowledge Representation." Murdoch University, 2007. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20070822.32701.
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Cognitive Maps (CMs) have shown promise as tools for modelling and simulation of knowledge in computers as representation of real objects, concepts, perceptions or events and their relations. This thesis examines the application of fuzzy theory to the expression of these relations, and investigates the development of a framework to better manage the operations of these relations.
The Fuzzy Cognitive Map (FCM) was introduced in 1986 but little progress has been made since. This is because of the difficulty of modifying or extending its reasoning mechanism from causality to relations other than causality, such as associative and deductive reasoning. The ability to express the complex relations between objects and concepts determines the usefulness of the maps. Structuring these concepts and relations in a model so that they can be consistently represented and quickly accessed and anipulated by a computer is the goal of knowledge representation. This forms the main motivation of this research.
In this thesis, a novel framework is proposed whereby single-antecedent fuzzy rules can be applied to a directed graph, and reasoning ability is extended to include noncausality. The framework provides a hierarchical structure where a graph in a higher layer represents knowledge at a high level of abstraction, and graphs in a lower layer represent the knowledge in more detail. The framework allows a modular design of knowledge representation and facilitates the creation of a more complex structure for modelling and reasoning.
The experiments conducted in this thesis show that the proposed framework is effective and useful for deriving inferences from input data, solving certain classification problems, and for prediction and decision-making.
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Patterson, Frank H. "Fuzzy framework for robust architecture identification in concept selection." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54413.
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An evolving set of modern physics-based, multi-disciplinary conceptual design methods seek to explore the feasibility of a new generation of systems, with new capabilities, capable of missions that conventional vehicles cannot be empirically redesigned to perform. These methods provide a more complete understanding of a concept's design space, forecasting the feasibility of uncertain systems, but are often computationally expensive and time consuming to prepare. This trend creates a unique and critical need to identify a manageable number of capable concept alternatives early in the design process. Ongoing efforts attempting to stretch capability through new architectures, like the U.S. Army's Future Vertical Lift effort and DARPA's Vertical Takeoff and Landing (VTOL) X-plane program highlight this need.
The process of identifying and selecting a concept configuration is often given insufficient attention, especially when a small subset of favorable concept families is not immediately apparent. Commonly utilized methods for concept generation, like filtered morphological analysis, often identify an exponential number of alternatives. Simple approaches to concept selection then rely on designers to identify a relatively small subset of alternatives for comparison through simple methods regularly related to decision matrices (Pugh, TOPSIS, AHP, etc.). More in-depth approaches utilize modeling and simulation to compare concepts with techniques such as stochastic optimization or probabilistic decision making, but a complicated setup limits these approaches to just a discrete few alternatives.
A new framework to identify and select promising, robust concept configurations utilizing fuzzy methods is proposed in this research and applied to the example problem of concept selection for DARPA's VTOL Xplane program. The framework leverages fuzzy systems in conjunction with morphological analysis to assess large design spaces of potential architecture alternatives while capturing the inherent uncertainty and ambiguity in the evaluation of these early concepts. Experiments show how various fuzzy systems can be utilized for evaluating criteria of interest across disparate architectures by modeling expert knowledge as well as simple physics-based data. The models are integrated into a single environment and variations on multi-criteria optimization are tested to demonstrate an ability to identify a non-dominated set of architectural families in a large combinatorial design space. The resulting framework is shown to provide an approach to quickly identify promising concepts in the face of uncertainty early in the design process.An evolving set of modern physics-based, multi-disciplinary conceptual design methods seek to explore the feasibility of a new generation of systems, with new capabilities, capable of missions that conventional vehicles cannot be empirically redesigned to perform. These methods provide a more complete understanding of a concept's design space, forecasting the feasibility of uncertain systems, but are often computationally expensive and time consuming to prepare. This trend creates a unique and critical need to identify a manageable number of capable concept alternatives early in the design process. Ongoing efforts attempting to stretch capability through new architectures, like the U.S. Army's Future Vertical Lift effort and DARPA's Vertical Takeoff and Landing (VTOL) X-plane program highlight this need.
The process of identifying and selecting a concept configuration is often given insufficient attention, especially when a small subset of favorable concept families is not immediately apparent. Commonly utilized methods for concept generation, like filtered morphological analysis, often identify an exponential number of alternatives. Simple approaches to concept selection then rely on designers to identify a relatively small subset of alternatives for comparison through simple methods regularly related to decision matrices (Pugh, TOPSIS, AHP, etc.). More in-depth approaches utilize modeling and simulation to compare concepts with techniques such as stochastic optimization or probabilistic decision making, but a complicated setup limits these approaches to just a discrete few alternatives.
A new framework to identify and select promising, robust concept configurations utilizing fuzzy methods is proposed in this research and applied to the example problem of concept selection for DARPA's VTOL Xplane program. The framework leverages fuzzy systems in conjunction with morphological analysis to assess large design spaces of potential architecture alternatives while capturing the inherent uncertainty and ambiguity in the evaluation of these early concepts. Experiments show how various fuzzy systems can be utilized for evaluating criteria of interest across disparate architectures by modeling expert knowledge as well as simple physics-based data. The models are integrated into a single environment and variations on multi-criteria optimization are tested to demonstrate an ability to identify a non-dominated set of architectural families in a large combinatorial design space. The resulting framework is shown to provide an approach to quickly identify promising concepts in the face of uncertainty early in the design process.
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Solovjovs, Sergejs. "On a categorical generalization of the concept of fuzzy set." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985864559.
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Styliandidis, Orestis. "Knowledge from data : concept induction using fuzzy and neural methods." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361076.
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Glodeanu, Cynthia Vera. "Conceptual Factors and Fuzzy Data." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-103775.
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With the growing number of large data sets, the necessity of complexity reduction applies today more than ever before. Moreover, some data may also be vague or uncertain. Thus, whenever we have an instrument for data analysis, the questions of how to apply complexity reduction methods and how to treat fuzzy data arise rather naturally. In this thesis, we discuss these issues for the very successful data analysis tool Formal Concept Analysis. In fact, we propose different methods for complexity reduction based on qualitative analyses, and we elaborate on various methods for handling fuzzy data. These two topics split the thesis into two parts. Data reduction is mainly dealt with in the first part of the thesis, whereas we focus on fuzzy data in the second part. Although each chapter may be read almost on its own, each one builds on and uses results from its predecessors. The main crosslink between the chapters is given by the reduction methods and fuzzy data. In particular, we will also discuss complexity reduction methods for fuzzy data, combining the two issues that motivate this thesisKomplexitätsreduktion ist eines der wichtigsten Verfahren in der Datenanalyse. Mit ständig wachsenden Datensätzen gilt dies heute mehr denn je. In vielen Gebieten stößt man zudem auf vage und ungewisse Daten. Wann immer man ein Instrument zur Datenanalyse hat, stellen sich daher die folgenden zwei Fragen auf eine natürliche Weise: Wie kann man im Rahmen der Analyse die Variablenanzahl verkleinern, und wie kann man Fuzzy-Daten bearbeiten? In dieser Arbeit versuchen wir die eben genannten Fragen für die Formale Begriffsanalyse zu beantworten. Genauer gesagt, erarbeiten wir verschiedene Methoden zur Komplexitätsreduktion qualitativer Daten und entwickeln diverse Verfahren für die Bearbeitung von Fuzzy-Datensätzen. Basierend auf diesen beiden Themen gliedert sich die Arbeit in zwei Teile. Im ersten Teil liegt der Schwerpunkt auf der Komplexitätsreduktion, während sich der zweite Teil der Verarbeitung von Fuzzy-Daten widmet. Die verschiedenen Kapitel sind dabei durch die beiden Themen verbunden. So werden insbesondere auch Methoden für die Komplexitätsreduktion von Fuzzy-Datensätzen entwickelt
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Konecny, Jan. "Isotone fuzzy Galois connections and their applications in formal concept analysis." Diss., Online access via UMI:, 2009.
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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.Includes bibliographical references.
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Parshall, Nina Frances. "Green Building Evaluation of the Roman Pantheon Using Fuzzy Set Concept." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1450699858.
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Seitz, Jurgen. "Agile concept development in the Fuzzy Front End of Internet product development." Thesis, University of Surrey, 2011. http://epubs.surrey.ac.uk/770243/.
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This thesis explores how successful start-up innovators handle the early stage of web product development, contributing to academic knowledge on agile software development (ASO) and the fuzzy front end (FFE) of innovation. For exploration of the FFE behaviour, a multiple case study of 10 successful start- up innovators was conducted. Data from personal open-ended interviews with the innovators were analysed to uncover common themes. Results reveal that start-up innovators are agile in their product concept development, and use activities and process phases that differ from the existing FFE models. The participants created working prototypes, conducted alpha tests, and collaborated with customers to develop alpha-tested prototypes rather than written product concepts. The author developed an agile concept development (ACO) model to illustrate this concept. The research also unveils potential risks of ACO. A lack of systematic analysis, intuitive decision-making, and a missing business plan potentially increase the risk of commercial failure, while a poorly defined product concept and potentially.unsustainable development practices can lead to challenges in later stages of software development. Web product companies shall encourage ACO to create innovative web products. They should seek to attract innovators because they are the driving force behind the process. Implementing support systems in areas of low innovator attention and active portfolio management may lower the risk exposure of web product companies. More research on ACO, the characteristics of start-up innovators, and the early stages of other types of Internet products (e.g., mobile apps or games) must be conducted.
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Chow, Lai-kit. "Incorporating fuzzy membership functions and gap analysis concept into performance evaluation of engineering consultants Hong Kong study /." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B32003699.
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Packirisamy, Muthukumaran. "Boundary conditioning concept applied to the synthesis of microsystems using fuzzy logic approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0015/NQ47713.pdf.
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Chow, Lai-kit, and 周禮傑. "Incorporating fuzzy membership functions and gap analysis concept intoperformance evaluation of engineering consultants: Hong Kong study." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32003699.
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Borgwardt, Stefan [Verfasser], Franz [Akademischer Betreuer] Baader, and Ian [Akademischer Betreuer] Horrocks. "Fuzzy Description Logics with General Concept Inclusions / Stefan Borgwardt. Gutachter: Franz Baader ; Ian Horrocks. Betreuer: Franz Baader." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://d-nb.info/1068447249/34.
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Andersson, Ida. "Grönska i struktur : En studie om grönskans användning och tolkning i plandokument." Thesis, Blekinge Tekniska Högskola, Institutionen för fysisk planering, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16559.
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Följande kandidatarbete undersöker hur grönska används och tolkas inom den fysiska planeringen från översiktsplan till detaljplan. Två urbanteorier har utgjort grunden för genomförandet av arbetet, Fuzzy Concept och Natur i staden. Syftet med arbetet har varit att undersöka hur grönska och natur används och formuleras i översiktligplanering och hur tillämpningsbar grönskan ur översiktsplan sedan är i detaljplan. Uppsatsen har vidare undersökt hur grönskan används i detaljplan och hur tolkning av översiktsplanens direktiv tillämpats i planbeskrivningen. Huvudfokus har varit tolkningen från översiktsplan till detaljplan för att identifiera om begrepp är tydligt formulerade. Detta har även resulterat i viss analys av de budskap kring grönska som plandokument medför. En fallstudie har genomförts av ett tidigare projekt som belyst hållbarhetsarbete i översiktlig planering, SAMS-projektet Mångfunktionella ytor - Klimatanpassning av befintlig bebyggd miljö i städer och tätorter genom grönstruktur (Boverket m.fl, 2010). Av detta fall har fyra analysenheter i form av kommuner identifierats som när projektet genomfördes var grunden i en flerfallstudie. Detta projekt blev intressant under områdesöversikten och redovisar kommuner som tidigare arbetat med hållbarhet på olika sätt, genom den här uppsatsens fallstudie har då det fortsatta arbetet med ekologisk hållbarhet i from av grönska varit den avgränsning inom vilket studien har genomförts. I analysen av arbetet har det framkommit vilken användning och syften med grönska som kommunerna planerar för i den översiktliga planeringen. Det visade sig att den strategiska planeringen främst arbetar med stora skyddsvärda områden och målande strukturer som ofta inte berörde detaljplanerna. Slutsatsen i arbetet blev därmed att den fysiska planeringen kan utveckla översiktsplanens användning av grönska för att bättre kunna vägleda och säkra för grönskans förekomst även i tätorter.
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Stjärnfäldt, Matilda, and Emelie Hansebo. "Från vision till verklighet - en studie av den översiktliga cykelplaneringens genomslag i det fysiska rummet." Thesis, Blekinge Tekniska Högskola, Institutionen för fysisk planering, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19729.
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Många översiktsplaner har under utbildningen i fysisk planering observerats som väldigt utopiska med storskaliga mål och visioner. Om översiktsplaner innehåller för många eller storskaliga visioneroch mål innebär det en risk att översiktsplanen inte framställer en realistisk presentation av kommunens intentioner för den framtida markanvändningen.Översiktsplanen riskerar då att inte uppfylla sitt syfte; att ge vägledning för hurden långsiktiga utvecklingen av den fysiska miljön ska användas och utvecklas (SFS2010:900 3 kap. 2 §). Om den långsiktiga planeringen för cykelfrämjande åtgärderinte är fungerande finns det risk för att enbart småskaliga projekt utan en tydliganknytning till varandra genomförs och att det den goda, heltäckandecykelinfrastruktur som behövs för att fler ska välja cykeln, över andra mindre hållbara transportmedel, uteblir. I den här studien har det undersökts vilka av de cykelfrämjande mål, visioner och ställningstaganden som presenteras i Kalmar kommuns översiktsplan, antagen 17 juni 2013, som har genomförts och varför. Det görs genom en fallstudie över Lindsdal och Västra staden som båda är belägna inom Kalmar kommun. Studienhar gjorts utifrån det teoretiska ramverket governmentality och fuzzy concept, för att kunna svara på varför vissa cykelfrämjande åtgärder genomförts medans andra inte har genomförts. För att analysera vilka av de cykelfrämjande åtgärder som genomförts i det fysiska rummet har metoden kvalitativ innehållsanalys använts.Den kvalitativa innehållsanalysen möjliggör en uppdagning av “dolda” budskap som förmedlas i texten och kan avslöja underliggande budskap som förmedlas.
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Bensköld, Manda, and Christine Jacobsson. "Vilse i skogen : Urban Forestry som möjlighet eller problem?" Thesis, Blekinge Tekniska Högskola, Institutionen för fysisk planering, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18002.
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Detta kandidatarbete syftar till att utreda om Urban Forestry kan tillföra något till svensk planering. Urbanisering har skett under en lång tid och för att tillgodose det växande behovet av bostäder har förtätning av staden skett, vilket ofta har gjorts på bekostnad av städers grönska. För att hantera utmaningarna med att integrera grönska i täta städer har ett behov av nytänkande grönplanering uppkommit. Urban Forestry anses vara en lösning på denna problematik och fokuserar på att skapa gröna städer där det inte finns ytor kvar för traditionella parker. För att undersöka om Urban Forestry tillför något nytt till svensk planering utreds grönplaneringens utveckling genom tiderna samt företeelsen Urban Forestry genom en litteraturstudie. Urban Forestry visade sig vara ett vagt och svårdefinierat begrepp, dessutom är de vetenskapliga grunderna för dess positiva miljöeffekter bristande. Dock bidrar Urban Forestry med uppmärksammande av miljö- och hållbarhetsfrågor, och visar goda ambitioner och initiativ till att utveckla och förbättra grönplanering. När den svenska grönplaneringen sattes i relation till Urban Forestry visade det sig att de bärande idéerna redan är representerade inom existerande grönplanering i Sverige.This bachelor thesis aims to investigate if the concept of Urban Forestry could bring new knowledge into Swedish urban planning. Urbanization has taken place for a long time and in order to meet the growing need for housing, densification of the city has taken place, which has often been done at the expense of urban greenery. In order to deal with the challenges of integrating greenery into dense cities, a need for innovative green planning has arisen. Urban Forestry as a concept is considered a solution to this problem and focuses on creating greenery in cities where limited areas for traditional parks are available. In order to investigate whether Urban Forestry adds something new to Swedish planning, the development of green planning over time and the concept of Urban Forestry is investigated. Urban Forestry turned out to be vague and difficult to define, and the scientific basis for the concept’s arguments are lacking. However, Urban Forestry contributes attention to environmental and sustainability issues, and shows good ambitions and initiatives to develop and improve green planning. When Swedish green planning was put in relation to Urban Forestry, the outcome was that the ideas in the concept were already represented within existing green planning.
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Blake, Gatto Sharon Elizabeth. "MAnanA: A Generalized Heuristic Scoring Approach for Concept Map Analysis as Applied to Cybersecurity Education." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2526.
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Concept Maps (CMs) are considered a well-known pedagogy technique in creating curriculum, educating, teaching, and learning. Determining comprehension of concepts result from comparisons of candidate CMs against a master CM, and evaluate "goodness". Past techniques for comparing CMs have revolved around the creation of a subjective rubric. We propose a novel CM scoring scheme called MAnanA based on a Fuzzy Similarity Scaling (FSS) score to vastly remove the subjectivity of the rubrics in the process of grading a CM. We evaluate our framework against a predefined rubric and test it with CM data collected from the Introduction to Computer Security course at the University of New Orleans (UNO), and found that the scores obtained via MAnanA captured the trend that we observed from the rubric via peak matching. Based on our evaluation, we believe that our framework can be used to objectify CM analysis.
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Wedemeier, Jan [Verfasser]. "Germany’s Creative Sector and its Impact on Employment Growth : A Theoretical and Empirical Approach to the Fuzzy Concept of Creativity: Richard Florida’s Arguments Reconsidered / Jan Wedemeier." Frankfurt : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2012. http://d-nb.info/1042460183/34.
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BRITO, Felipe Houat de. "GAIA - Uma proposta de agente inteligente acoplado a algoritmos evolucionários para ajuste dinâmico de parâmetros através de conceitos de design inteligente e lógica fuzzy." Universidade Federal do Pará, 2011. http://repositorio.ufpa.br/jspui/handle/2011/2728.
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Há muitos anos, técnicas de Computação Evolucionária vem sendo aplicadas com sucesso na solução dos mais variados tipos de problemas de otimização. Na constante procura pelo ótimo global e por uma melhor exploração da superfície de busca, as escolhas para ajustar estes métodos podem ser exponencialmente complexas e requerem uma grande quantidade de intervenção humana. Estes modelos tradicionais darwinianos apóiam-se fortemente em aleatoriedade e escolhas heurísticas que se mantém fixas durante toda a execução, sem que acompanhem a variabilidade dos indivíduos e as eventuais mudanças necessárias. Dadas estas questões, o trabalho introduz a combinação de aspectos da Teoria do Design Inteligente a uma abordagem hibrida de algoritmo evolucionário, através da implementação de um agente inteligente o qual, utilizando lógica fuzzy, monitora e controla dinamicamente a população e seis parâmetros definidos de uma dada execução, ajustando-os para cada situação encontrada durante a busca. Na avaliação das proposições foi construído um protótipo sobre a implementação de um algoritmo genético para o problema do caixeiro viajante simétrico aplicado ao cenário de distância por estradas entre as capitais brasileiras, o que permitiu realizar 580 testes, simulações e comparações entre diferentes configurações apresentadas e resultados de outras técnicas. A intervenção inteligente entrega resultados que, com sucesso em muitos aspectos, superam as implementações tradicionais e abrem um vasto espaço para novas pesquisas e estudos nos aqui chamados: “Algoritmos Evolucionários Híbridos Auto-Adaptáveis”, ou mesmo, “Algoritmos Evolucionários Não-Darwinianos”.
For many years Evolutionary Techniques have been successfully applied in several computational optimization problems. For the matter of obtaining “best results” and a wide exploration of the search surface, the choices for tuning those methods can be exponentially complex and require a large human intervention. Those traditional Darwinian models rely only on randomness and heuristic choices, which are kept fix during the entire algorithm execution without following the individuals’ variability and any eventual changes needed. For that matter, the present work introduces the combination of Intelligent Design Theory aspects with a hybrid approach of an evolutionary algorithm, through the implementation of a Fuzzy Intelligent Designer agent, which dynamically monitors and regulates six chosen algorithms’ parameters, adjusting their values for any given situation. In order to testify these proposals, a Brazilian’s capitals symmetric TSP problem genetic algorithm prototype was also built, allowing the execution of 580 tests, plus several simulations and comparisons between many proposed set of configurations, regular techniques and other recent works. The Intelligent Design intervention deliveries over-expectation results, opening a wide new space for research of the: “Darwin-less Evolutionary Algorithms” or “The Hybrid Self-Adaptable Evolutionary Algorithms”.
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LIANG, JIN-SHU, and 梁金樹. "Evaluating system safety using fuzzy concepts." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/14625900567283420427.
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"An " expert system building tool" incorporated with fuzzy concepts." Chinese University of Hong Kong, 1988. http://library.cuhk.edu.hk/record=b5885912.
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Liu, Chia-Hung, and 劉家宏. "New Methods for Fuzzy Query Operators and Calculating Associating Degrees between Concepts." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/58348023266145067226.
Full textAbstract:
碩士國立聯合大學
資訊管理學系碩士班
101
This thesis firstly proposes a new query operators based on the extended quadratic-mean operators for fuzzy document retrieval to overcome these drawbacks of the existing methods. We prove some properties of the proposed AND/OR query operators, and use some examples to compare the proposed query operators with the existing query operators based on averaging operators. The proposed query operators is easily determine an appropriate value for the parameter α for handling “AND” and “OR” operations for fuzzy document retrieval. Furthermore, we propose a new fuzzy-number query operators based on the extended quadratic-mean operators to deal with the linguistic fuzzy AND/OR query problems. We also prove some properties of the proposed AND/OR query operators, and use some examples to compare the proposed query operators with the existing fuzzy-number query operators based on averaging operators. The proposed generalized fuzzy-number AND/OR query operators are more useful than the existing methods for fuzzy document retrieval. Finally, some papers pointed out that depicting the associating degrees between two concepts and the document retrieval relationships are major works for constructing a multi-relationship fuzzy concept network for document retrieval. Thus, we found some drawbacks of the existing methods of calculating associating degrees between concepts, and propose a new method for overcoming these drawbacks. We also use some examples to compare the proposed method with the existing methods. The proposed method is more useful than the existing methods to calculate the associating degrees between two concepts for constructing the document retrieval relationship in a multi-relationship fuzzy concept networks.
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"Development of medical expert systems with fuzzy concepts in a PC environment." Chinese University of Hong Kong, 1990. http://library.cuhk.edu.hk/record=b5886614.
Full textAbstract:
by So Yuen Tai.Thesis (M.Phil.)--Chinese University of Hong Kong, 1990.
Bibliography: leaves [144]-[146].
ACKNOWLEDGEMENTS
TABLE OF CONTENTS --- p.T.1
ABSTRACT
Chapter 1. --- INTRODUCTION --- p.1.1
Chapter 1.1 --- Inexact Knowledge in Medical Expert Systems --- p.1.1
Chapter 1.2 --- Fuzzy Expert System Shells --- p.1.2
Chapter 1.2.1 --- SPII-2 --- p.1.3
Chapter 1.2.2 --- Fuzzy Expert System Shell for Decision Support System --- p.1.4
Chapter 1.3 --- Medical Expert Systems --- p.1.6
Chapter 1.3.1 --- EXPERT --- p.1.6
Chapter 1.3.2 --- DIABETO --- p.1.8
Chapter 1.4 --- Impact from Micro-computer --- p.1.10
Chapter 1.5 --- Approach --- p.1.11
Chapter 2. --- SYSTEM Z-ll --- p.2.1
Chapter 2.1 --- General Description --- p.2.1
Chapter 2.2 --- Main Features --- p.2.2
Chapter 2.2.1 --- Fuzzy Concepts --- p.2.2
Chapter 2.2.2 --- Fuzzy Certainty --- p.2.3
Chapter 2.2.3 --- Fuzzy Comparison --- p.2.5
Chapter 2.2.4 --- Rule Evaluation --- p.2.7
Chapter 2.2.5 --- Certainty Factor Propagation --- p.2.9
Chapter 2.2.6 --- Linguistic Approximation --- p.2.10
Chapter 2.3 --- Limitations and Possible Improvements --- p.2.11
Chapter 3. --- A FUZZY EXPERT SYSTEM SHELL (Z-lll) IN PC ENVIRONMENT --- p.3.1
Chapter 3.1 --- General Description --- p.3.1
Chapter 3.2 --- Programming Environment --- p.3.1
Chapter 3.3 --- Main Features and Structure --- p.3.3
Chapter 3.3.1 --- Knowledge Acquisition Module --- p.3.5
Chapter 3.3.1.1 --- Object Management Module --- p.3.5
Chapter 3.3.1.2 --- Rule Management Module --- p.3.6
Chapter 3.3.1.3 --- Fuzzy Term Management Module --- p.3.7
Chapter 3.3.2 --- Consultation Module --- p.3.8
Chapter 3.3.2.1 --- Fuzzy Inference Engine --- p.3.8
Chapter 3.3.2.2 --- Review Management Module --- p.3.11
Chapter 3.3.2.3 --- Linguistic Approximation Module --- p.3.11
Chapter 3.3.3 --- System Properties Management Module --- p.3.13
Chapter 3.4 --- Additional Features --- p.3 14
Chapter 3.4.1 --- Weights --- p.3.15
Chapter 3.4.1.1 --- Fuzzy Weight --- p.3.16
Chapter 3.4.1.2 --- Fuzzy Weight Evaluation --- p.3.17
Chapter 3.4.1.3 --- Results of Adding Fuzzy Weights --- p.3.21
Chapter 3.4.2 --- Fuzzy Matching --- p.3.24
Chapter 3.4.2.1 --- Similarity --- p.3.25
Chapter 3.4.2.2 --- Evaluation of Similarity measure --- p.3.26
Chapter 3.4.3 --- Use of System Threshold --- p.3.30
Chapter 3.4.4 --- Use of Threshold Expression --- p.3.33
Chapter 3.4.5 --- Playback File --- p.3.35
Chapter 3.4.6 --- Database retrieval --- p.3.37
Chapter 3.4.7 --- Numeric Variable Objects --- p.3.39
Chapter 3.5 --- Implementation Highlights --- p.3.41
Chapter 3.5.1 --- Knowledge Base --- p.4.42
Chapter 3.5.1.1 --- Fuzzy Type --- p.4.42
Chapter 3.5.1.2 --- Objects --- p.3.45
Chapter 3.5.1.3 --- Rules --- p.3.49
Chapter 3.5.2 --- System Properties --- p.3.53
Chapter 3.5.2.1 --- System Menu --- p.3.53
Chapter 3.5.2.2 --- Option Menu --- p.3.54
Chapter 3.5.3 --- Consultation System --- p.3.55
Chapter 3.5.3.1 --- Inference Engine --- p.3.56
Chapter 3.5.3.2 --- Review Management --- p.3.60
Chapter 3.6 --- Comparison on Z-lll and Z-ll --- p.3.61
Chapter 3.6.1 --- Response Time --- p.3.62
Chapter 3.6.2 --- Accessibility --- p.3.62
Chapter 3.6.3 --- Accommodation of Large Knowledge Base --- p.3.62
Chapter 3.6.4 --- User-Friendliness --- p.3.63
Chapter 3.7 --- General Comments on Z-lll --- p.3.64
Chapter 3.7.1 --- Adaptability --- p.3.64
Chapter 3.7.2 --- Adequacy --- p.3.64
Chapter 3.7.3 --- Applicability --- p.3.65
Chapter 3.7.4 --- Availability --- p.3.65
Chapter 4. --- KNOWLEDGE ENGINEERING --- p.4.1
Chapter 4.1 --- Techniques used in Knowledge Acquisition --- p.4.1
Chapter 4.2 --- Interviewing the Expert --- p.4.2
Chapter 4.3 --- Knowledge Representation --- p.4.4
Chapter 4.4 --- Development Approach --- p.4.6
Chapter 4.5 --- Knowledge Refinement --- p.4.7
Chapter 4.6 --- Consistency Check and Completeness Check --- p.4.12
Chapter 4.6.1 --- The Consistency and Completeness in a nonfuzzy rule set --- p.4.13
Chapter 4.6.1.1 --- Inconsistency in nonfuzzy rule-based system --- p.4.13
Chapter 4.6.1.2 --- Incompleteness in nonfuzzy rule-based system --- p.4.18
Chapter 4.6.2 --- Consistency Checks in Fuzzy Environment --- p.4.20
Chapter 4.6.2.1 --- Affinity --- p.4.21
Chapter 4.6.2.2 --- Detection of Inconsistency and Incompleteness in Fuzzy Environment --- p.4.24
Chapter 4.6.3 --- Algorithm for Checking Consistency --- p.4.25
Chapter 5. --- FUZZY MEDICAL EXPERT SYSTEMS --- p.5.1
Chapter 5.1 --- ABVAB --- p.5.1
Chapter 5.1.1 --- General Description --- p.5.1
Chapter 5.1.2 --- Development of ABVAB --- p.5.2
Chapter 5.1.3 --- Computerisation of Database --- p.5.4
Chapter 5.1.4 --- Results of ABVAB --- p.5.7
Chapter 5.1.5 --- From Minicomputer to PC --- p.5.15
Chapter 5.2 --- INDUCE36 --- p.5.17
Chapter 5.2.1 --- General Description --- p.5.17
Chapter 5.2.2 --- Verification of INDUCE36 --- p.5.18
Chapter 5.2.3 --- Results --- p.5.19
Chapter 5.3 --- ESROM --- p.5.21
Chapter 5.3.1 --- General Description --- p.5.21
Chapter 5.3.2 --- Multi-layer Medical Expert System --- p.5.22
Chapter 5.3.3 --- Results --- p.5.25
Chapter 6. --- CONCLUSION --- p.6.1
REFERENCES --- p.R.1
APPENDIX I --- p.A.1
APPENDIX II --- p.A.2
APPENDIX III --- p.A.3
APPENDIX IV --- p.A.14
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Yi-JuLai and 賴薏如. "Constructing Fuzzy Regression Models by Aggregating the Concepts of Randomness and Fuzziness." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/33228339752997840863.
Full textAbstract:
碩士國立成功大學
工業與資訊管理學系碩博士班
101
Regression analysis is one of the most important decision making tools allowing decision makers to analyze the relationship between input variables and output variables. Statistical regressions are expected to determine the relationships among a group of variables using probability distributions, assuming the uncertainty of data is due to randomness. In contrast, fuzzy regressions deal with imprecise data or indefinite relationships between variables, viewing this kind of uncertainty as fuzziness. Both statistical regressions and fuzzy regressions are widely applied in specific applicable fields. However, in a real world with complicated information, data is often accompanied with randomness and fuzziness simultaneously. Yet, there have been few studies of regression models that have discussed these two types of uncertainty at the same time. In this research, the concepts of randomness and fuzziness are aggregated and a fuzzy regression model concerning two types of uncertainty is built. First, fuzzy random variables (FRV) are represented as data with twofold uncertainty, viewing the most likely value of FRVs as randomness and the spread of FRVs as fuzziness. Then, two approaches for constructing a regression model are proposed. The first approach uses weighted fuzzy arithmetic to estimate the sum of deviations between predicted values and the observed values. Subsequently, regression coefficients are obtained under the least-squares criterion. The second approach is called the goal programming method. This approach uses distance criterion for error estimation between a predicted value and an observed value and constructs objective function and constraints, respectively. Furthermore, a fuzzy adjustment term is added in the proposed fuzzy regression model in this research in order to increase generalization and to reduce the total estimation error of the model.
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Chih-YiYeh and 葉至毅. "Constructing Control Charts with Fuzzy Random Variables through Concepts of Randomness and Fuzziness." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/73029474647856867774.
Full textAbstract:
碩士國立成功大學
工業與資訊管理學系碩博士班
100
The control chart approach is a frequently used method for Statistical Process Control (SPC). By monitoring the manufacturing process using statistical concepts, the control chart is capable of detecting abnormalities during the process, allowing the supervisor to react and locate the causes of these before severe quality defects occur. However, with regard to the measuring of quality characteristics, there remain many uncertainties beyond the manufacturing process, such as the accuracy of the measurement tools or the subjective judgment of the operator. These uncertainties may be solved through the application of fuzzy theory, which represents quality characteristics using fuzzy numbers. This representation can include the information and phenomenon of fuzziness. In the past, many scholars have used fuzzy numbers derived from quantitative quality characteristics to develop fuzzy control charts, but no control charts that separate randomness and fuzziness have been documented in the literature. Therefore, this study takes uses various methods of developing fuzzy control charts from the literature and designs a randomness-fuzziness separated fuzzy control chart. This study begins by calculating the random values of fuzzy quality characteristics using the concept of defuzzification, and specifically uses the center of gravity and mean of maxima methods to calculate the representational values of randomness. Through the use of traditional control charts, these values are applied to monitor the randomness of the manufacturing process. The method used to calculate method the left and right spreads is improved, and then the revised values of the left and right spreads are combined to represent a fuzzy number. Again, using traditional control charts, the fuzzy numbers are used monitor the fuzziness of the manufacturing process. By using these two control charts to identify two different sources of uncertainties, the supervisor is able to distinguish between abnormalities in the manufacturing process that come from chance causes or the bias of quality measurements.
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Weiß, Christian [Verfasser]. "Games with fuzzy coalitions: concepts based on the Choquet extension / vorgelegt von Christian Weiß." 2003. http://d-nb.info/968578438/34.
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SHIH, YOU-YI, and 石又伊. "New Calculating Methods for Query Operators and Concepts Relationship Degree of Fuzzy Document Retrieval." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/46635045398353354430.
Full textAbstract:
碩士國立聯合大學
資訊管理學系碩士班
104
This paper firstly proposes new query operators based on the extended quadratic-mean operators for fuzzy document retrieval to overcome the drawbacks of the existing methods. We prove some properties of the proposed AND/OR query operators, and use some examples to compare the proposed query operators with the existing query operators based on averaging operators. The proposed query operators is easily determine an appropriate value of the parameter α for handling AND/OR operations of fuzzy document retrieval. Furthermore, this paper propose new fuzzy-number query operators based on the extended quadratic-mean operators to deal with the linguistic fuzzy AND/OR query problems. We also prove some properties of the proposed query operators, and use some examples to compare the proposed query operators with the existing fuzzy-number query operators. The proposed query operators can overcome some drawbacks of the existing fuzzy-number AND/OR operators. Finally, some papers pointed out that depicting the associating degrees between two concepts and their relationships are important works for constructing a multi-relationship fuzzy concept network for document retrieval. We found some drawbacks of the existing methods for calculating associating degrees between concepts. Thus, we propose a new method for overcoming these drawbacks. We also use some examples to compare the proposed method with the existing methods. The proposed method is useful than the existing methods to calculate the associating degrees between two concepts for constructing their relationship in a multi-relationship fuzzy concept networks.
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Ji, Shun-Shyong, and 紀順雄. "A Diagnostic Analysis of Fraction Addition Concepts Based on Fuzzy Approach Interpretive of Structural Model." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/17069792537417625990.
Full textAbstract:
碩士國立臺中教育大學
教育測驗統計研究所
95
The purpose of this study is to analyze the individualized hierarchical structures of fraction addition concepts for sixth graders in Taiwan by using the fuzzy approach of interpretive structural model (FAISM). The researcher first tested 985 sixth graders of elementary schools by using self-designed fraction addition test. Secondly, the researcher analyzed the raw datum through FAISM based on Fuzzy Logic Model of Perception (FLMP), Item Response Theory (IRT) and the algorithm of Interpretive Structural Model (ISM) of fuzzy alpha-cut. Thirdly, the researcher used FAISM software to get the individualized hierarchical structures of fraction addition concepts of high, middle and low-ability examinees. Finally, the researcher compared qualitively and quantitatively about the differences of the individualized hierarchical structures of fraction addition concepts among high, middle, low-ability examinees and the experts. Through the procedures of the analysis, the following conclusions were found. 1. The FAISM was a feasible way for analyzing the concepts structures of fraction addition. 2. The ISM graphs of examinees varied based on different abilities. 3. The concept structures in each item varied greatly with different-ability examinees. 4. According to individualized ISM graphs of fraction addition concepts, the links among concepts could be as references for group teaching and remedial instruction. 5. Based on the referenced standard of experts’ concept structures, the similarity indices of the ISM graphs of examinees with different-ability were significantly different. 6. The similarity indices of ISM graphs between high-ability examinees and experts were not significantly different. But the similarity indices of ISM graphs between middle-ability examinees and experts were significantly different as well as between low-ability examinees and experts. The findings of this study should be helpful for understanding the learning process of fraction addition concepts and as references for remedial instruction or group teaching. Finally, some recommendations and suggestions for future research are provided.