Relevant bibliographies by topics / Fuzzy concepts

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fuzzy concepts'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Fuzzy concepts.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Fuzzy concepts"

1

Mukherjee, M. N., and S. P. Sinha. "Fuzzyθ-closure operator on fuzzy topological spaces." International Journal of Mathematics and Mathematical Sciences 14, no. 2 (1991): 309–14. http://dx.doi.org/10.1155/s0161171291000364.

Full text
Abstract:
The paper contains a study of fuzzyθ-closure operator,θ-closures of fuzzy sets in a fuzzy topological space are characterized and some of their properties along with their relation with fuzzyδ-closures are investigated. As applications of these concepts, certain functions as well as some spaces satisfying certain fuzzy separation axioms are characterized in terms of fuzzyθ-closures andδ-closures.
APA, Harvard, Vancouver, ISO, and other styles
2

Iampan, Aiyared. "Fuzzy Translations of A Fuzzy Set in UP-Algebras." Journal of the Indonesian Mathematical Society 23, no. 2 (December 24, 2017): 1–19. http://dx.doi.org/10.22342/jims.23.2.371.1-19.

Full text
Abstract:
In this paper, we apply the concept of fuzzy translations of a fuzzy set to UP-algebras.For any fuzzy set $\mu$ in a UP-algebra,the concepts of fuzzy $\alpha$-translations of $\mu$ of type \textrm{I} and of fuzzy $\beta$-translations of $\mu$ of type \textrm{II} are introduced, their basic properties are investigated and some useful examples are discussed.The concepts of prime fuzzy sets and of weakly prime fuzzy sets in UP-algebras are also studied.Moreover, we discuss the concepts of extensions and of intensions of a fuzzy set in UP-algebras.
APA, Harvard, Vancouver, ISO, and other styles
3

Wang, Liu Yang, Yang Xin Yu, Lei Zhou, and Sheng Hua Jin. "Fuzzy Information Retrieval Method Based on Fuzzy-Valued Concept Networks." Applied Mechanics and Materials 530-531 (February 2014): 506–11. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.506.

Full text
Abstract:
In order to reduce the time of fuzzy inference, the relevant matrices and the relationship matrices are used to constitute the fuzzy-valued concept networks. The elements of a relevant matrix represent the relevant degrees between concepts. The elements of a relationship matrix represent the relevant relationships between concepts. Fuzzy positive association relationship or fuzzy negative association relationship are used for formulating users queries in order to increase the flexibility of fuzzy information retrieval systems. Expanding the fuzzy-valued concept network architecture to the Internet environment, we propose a fuzzy information retrieval method based on the network-type fuzzy-valued concept network and it can be relatively more effective information retrieval in the distributed network
APA, Harvard, Vancouver, ISO, and other styles
4

Hussein, M. L., and E. Ahmed. "Fuzzy concepts in radiotherapy." Fuzzy Sets and Systems 114, no. 2 (September 2000): 305–9. http://dx.doi.org/10.1016/s0165-0114(98)00177-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Nadin, Mihai. "Concepts and fuzzy logic." International Journal of General Systems 41, no. 8 (November 2012): 860–67. http://dx.doi.org/10.1080/03081079.2012.726321.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Srivastava, Rekha, and Arun K. Srivastava. "On fuzzy hausdorffness concepts." Fuzzy Sets and Systems 17, no. 1 (September 1985): 67–71. http://dx.doi.org/10.1016/0165-0114(85)90007-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Abbas, S. E. "On smooth fuzzy subspaces." International Journal of Mathematics and Mathematical Sciences 2004, no. 66 (2004): 3587–602. http://dx.doi.org/10.1155/s0161171204401021.

Full text
Abstract:
We introduce a new concept of smooth topological subspaces, which coincides with the usual definition in the case whereμ=χY,Y⊂X. Also, we introduce some concepts such asq-nbd systems, continuity, separation axioms, compactness, and connectedness in this sense. Also, various characterization for some fuzzy topological concepts in this sense are given.
APA, Harvard, Vancouver, ISO, and other styles
8

Pankratieva, Vera V., and Sergei O. Kuznetsov. "Relations between Proto-fuzzy Concepts, Crisply Generated Fuzzy Concepts, and Interval Pattern Structures." Fundamenta Informaticae 115, no. 4 (2012): 265–77. http://dx.doi.org/10.3233/fi-2012-655.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Akram, Muhammad, Noura Alshehri, and Rabia Akmal. "Certain Concepts inm-Polar Fuzzy Graph Structures." Discrete Dynamics in Nature and Society 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6301693.

Full text
Abstract:
We apply the concept ofm-polar fuzzy sets to graph structures. We introduce certain concepts inm-polar fuzzy graph structures, including strongm-polar fuzzy graph structure,m-polar fuzzyDi-cycle,m-polar fuzzyDi-tree,m-polar fuzzyDi-cut vertex, andm-polar fuzzyDi-bridge, and we illustrate these concepts by several examples. We present the notions ofϕ-complement of anm-polar fuzzy graph structure and self-complementary, strong self-complementary, totally strong self-complementarym-polar fuzzy graph structures, and we investigate some of their properties.
APA, Harvard, Vancouver, ISO, and other styles
10

Sarwar, Musavarah, and Muhammad Akram. "Novel Applications of m-Polar Fuzzy Concept Lattice." New Mathematics and Natural Computation 13, no. 03 (September 28, 2017): 261–87. http://dx.doi.org/10.1142/s1793005717400105.

Full text
Abstract:
In this research paper, we introduce certain new concepts, including [Formula: see text]-polar fuzzy formal context, [Formula: see text]-polar fuzzy concept lattice, discernibility function and discernibility matrix. We discuss interesting applications of [Formula: see text]-polar fuzzy concept lattice for the detection of women and child trafficking and abduction suspects. We also present certain algorithms for computing [Formula: see text]-polar fuzzy formal concepts and discernibility function.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Fuzzy concepts"

1

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
4

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Badrul, Omar. "A fuzzy approach to support DFA evaluation of design concepts." Thesis, University of Leeds, 2008. http://etheses.whiterose.ac.uk/5789/.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
6

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Lucic, Panta. "Modeling Transportation Problems Using Concepts of Swarm Intelligence and Soft Computing." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/26396.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
8

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Fuzzy concepts"

1

Concepts and fuzzy logic. Cambridge, Mass: MIT Press, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Fuzzy set theory: Basic concepts, techniques, and bibliography. Dordrecht: Kluwer Academic Publishers, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Verma, Tina, and Amit Kumar. Fuzzy Solution Concepts for Non-cooperative Games. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-16162-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Lughofer, Edwin. Evolving Fuzzy Systems – Methodologies, Advanced Concepts and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18087-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lowen, R. Fuzzy Set Theory: Basic Concepts, Techniques and Bibliography. Dordrecht: Springer Netherlands, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

service), SpringerLink (Online, ed. Evolving Fuzzy Systems – Methodologies, Advanced Concepts and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Reghiș, Mircea. Classical and fuzzy concepts in mathematical logic and applications. Boca Raton: CRC Press, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Starczewski, Janusz T. Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Council, IEEE Neural Networks, ed. Understanding neural networks and fuzzy logic: Basic concepts and applications. New York: Institute of Electrical and Electronics Engineers, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Starczewski, Janusz T. Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29520-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Fuzzy concepts"

1

Lawry, Jonathan. "Flexible Concepts Are Fuzzy Concepts." In On Fuzziness, 353–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35641-4_51.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Di Martino, Ferdinando, and Salvatore Sessa. "Fuzzy Transform Concepts." In Fuzzy Transforms for Image Processing and Data Analysis, 1–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44613-0_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Chen, Guoqing. "Fuzzy ER Concepts." In Fuzzy Logic in Data Modeling, 61–77. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-4068-7_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Chen, Guoqing. "Fuzzy EER Concepts." In Fuzzy Logic in Data Modeling, 79–93. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-4068-7_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Chakraverty, Snehashish, Deepti Moyi Sahoo, and Nisha Rani Mahato. "Fuzzy Sets." In Concepts of Soft Computing, 25–51. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7430-2_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Chakraverty, Snehashish, Deepti Moyi Sahoo, and Nisha Rani Mahato. "Fuzzy Numbers." In Concepts of Soft Computing, 53–69. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7430-2_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Chakraverty, Snehashish, Deepti Moyi Sahoo, and Nisha Rani Mahato. "Fuzzy Relations." In Concepts of Soft Computing, 71–94. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7430-2_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Chakraverty, Snehashish, Deepti Moyi Sahoo, and Nisha Rani Mahato. "Fuzzy Functions." In Concepts of Soft Computing, 95–104. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7430-2_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Xu, Baowen, Dazhou Kang, Jianjiang Lu, Yanhui Li, and Jixiang Jiang. "Mapping Fuzzy Concepts Between Fuzzy Ontologies." In Lecture Notes in Computer Science, 199–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553939_29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Fasel, Daniel. "Fundamental Concepts." In Fuzzy Data Warehousing for Performance Measurement, 11–42. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04226-8_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Fuzzy concepts"

1

Martin, Trevor, and Ben Azvine. "Graded concepts and associations." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015748.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zhang, Weifeng, and Zengchang Qin. "Clustering data and imprecise concepts." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007372.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lopes de Almeida, Luiz Henrique, and Renato Aguiar. "Trajectory Tracking Control Based in Fuzzy Concepts." In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2018. http://dx.doi.org/10.1109/fuzz-ieee.2018.8491649.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Shimamura, Kazuaki, Shinichiro Ito, Tomohiro Takagi, Hiroshi Yoshida, Tomoya Suzuki, and Kaoru Kato. "Predicting hit movie concepts using news articles." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6251264.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lei, Yuxia, and Jingying Tian. "Concepts with negative-values and corresponding concept lattices." In 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6234132.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Mattioli, Gabriel, and Jordi Recasens. "Dualities and isomorphisms between indistinguishabilities and related concepts." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007672.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Nhuan, D., Marek Z. Reformat, and Ronald R. Yager. "OWA-based Summarization of Data using iPad-drawn Concepts." In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2019. http://dx.doi.org/10.1109/fuzz-ieee.2019.8858886.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kaburlasos, Vassilis G., Vassilis Tsoukalas, and Lefteris Moussiades. "FCknn: A granular knn classifier based on formal concepts." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891726.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sepulveda, Abdon, and Hector Jensen. "Fuzzy optimization using approximation concepts." In 6th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-4182.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Limberg, J. "Fuzzy concepts in human biology." In NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2008. http://dx.doi.org/10.1109/nafips.2008.4531319.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Fuzzy concepts"

1

Kersten, P. R., and S. C. Nardone. Concepts of Fuzzy Model Assessment. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada280641.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Hanson, H. Fuzzy cloud concepts for assessing radiation feedbacks. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/232595.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zwick, Rami, Edward Carlstein, and David Budescu. Measures of Similarity between Fuzzy Concepts: A Comparative Analysis. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada189430.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Fuzzy concepts' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography