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KOZHEMIACHENKO, Daniil. "Paraconsistent and fuzzy modal logics for reasoning about uncertainty." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2023. http://www.theses.fr/2023ISAB0014.
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Ce manuscrit est dédié à l'étude des logiques modales floues qui formalisent le raisonnement (paraconsistant) sur l'incertitude. Ici, l'interprétation d'«information (données) incertain(es)» inclut toute combinaison des trois propriétés suivantes. Premièrement, l'information peur être quantifiée, i.e., la proposition est associée à un degré de vérité plutôt qu'une valeur de vérité. Deuxièmement, l'information peut être incomplète. Troisièmement, l'information peut être contradictoire.Toutes les logiques étudiees se divisent en deux groupes. Les plus «traditionnelles» dont la sémantique est construite sur des modèles de Kripke où les formules (et parfois, même des relations d'accessibilité) prennent des valeurs dans [0,1] constituent le premier groupe. Le second groupe contient des logiques dites «bi-stratifiées». Ici, le langage est composé de trois parties: la strate intérieure, la strate extérieure, et la modalité non-nichante. On interprète la modalité comme une mesure sur l'univers (e.g., une mesure de probabilité, fonction de croyance, fonction de plausibilité, etc.) correspondante au degré de (in)certitude de l'agent dans une proposition donnée. Le raisonnement sur cette (in)certitude est conduit dans la strate extérieure. Les cadres dans des logiques bi-stratifiées sont alors des ensembles munis de mesures.Chacun de ces deux genres de logiques correspond à l'une des façons d'interpréter l'incertitude. Dans le cas moins formel, nous utiliserons les logiques avec la sémantique de Kripke. Dans le cas plus formel où l'on assume que le degré de certitude se comporte comme une mesure d'incertitude concrète, nous utiliserons les logiques bi-stratifiées<br>This dissertation is devoted to the study of fuzzy modal logics that formalise (paraconsistent) reasoning about uncertainty. The understanding of ‘uncertain information (data)’ here includes any combination of the following three characteristics. First, the information can be graded, i.e., the statement is equipped with a truth degree rather than a truth value. Second, the information can be incomplete. Third, the information can be contradictory.All the logics in question can be divided into two kinds. First, the more ‘traditional’ modal logics defined on [0,1]-valued Kripke models (possibly, with fuzzy accessibility relations) whose language includes modal operators interpreted as infima and suprema of values in the accessible states.The second kind of logics contains so-called ‘two-layered’ logics. In this framework, the language is divided into three parts: the inner layer, the outer layer, and the non-nesting modality. The idea is to use the inner-layer language to describe events, interpret the modality as a measure on the set of events (e.g., as a probability function, belief function, plausibility, etc.) corresponding to the degree of the agent's (un)certainty in a given event, and then reason about this (un)certainty in the outer-layer language. A frame in a two-layered logic is, thus, a set with a measure defined thereon.These two kinds of logics correspond to two ways of interpreting uncertainty. In the less formal one, we will be using the logics with the Kripke-frame semantics. In the more formal case where the degree of one's certainty or belief is assumed to behave as a concrete uncertainty measure, we will use the two-layered logics
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Dod?, Adriano Alves. "On rich modal logics." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18688.
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Previous issue date: 2013-11-19<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>I thank to my advisor, Jo?o Marcos, for the intellectual support and patience that devoted me along graduate years. With his friendship, his ability to see problems of the better point of view and his love in to make Logic, he became a great inspiration for me. I thank to my committee members: Claudia Nalon, Elaine Pimentel and Benjamin Bedregal. These make a rigorous lecture of my work and give me valuable suggestions
to make it better. I am grateful to the Post-Graduate Program in Systems and Computation that
accepted me as student and provided to me the propitious environment to develop my research. I thank also to the CAPES for a 21 months fellowship. Thanks to my research group, LoLITA (Logic, Language, Information, Theory and Applications). In this group I have the opportunity to make some friends. Someone of
them I knew in my early classes, they are: Sanderson, Haniel and Carol Blasio. Others I knew during the course, among them I?d like to cite: Patrick, Claudio, Flaulles and Ronildo. I thank to Severino Linhares and Maria Linhares who gently hosted me at your home in my first months in Natal. This couple jointly with my colleagues of student
flat Fernado, Don?tila and Aline are my nuclear family in Natal.
I thank my fianc?e Lucl?cia for her precious a ective support and to understand my absence at home during my master. I thank also my parents Manoel and Zenilda, my siblings Alexandre, Paulo and Paula.Without their confidence and encouragement
I wouldn?t achieve success in this journey. If you want the hits, be prepared for the misses Carl Yastrzemski<br>Esta disserta??o trata do enriquecimento de l?gicas modais. O termo enriquecimento
? usado em dois sentidos distintos. No primeiro deles, de fundo sem?ntico, propomos
uma sem?ntica difusa para diversas l?gicas modais normais e demonstramos
um resultado de completude para uma extensa classe dessas l?gicas enriquecidas
com m?ltiplas inst?ncias do axioma da conflu?ncia. Um fato curioso a respeito dessa
sem?ntica ? que ela se comporta como as sem?nticas de Kripke usuais. O outro enriquecimento
diz respeito ? expressividade da l?gica e se d? por meio da adi??o de
novos conectivos, especialmente de nega??es modais. Neste sentido, estudamos inicialmente
o fragmento da l?gica cl?ssica positiva estendido com uma nega??o modal
paraconsistente e mostramos que essa linguagem ? forte o suficiente para expressar as
linguagens modais normais. Vemos que tamb?m ? poss?vel definir uma nega??o modal
paracompleta e conectivos de restaura??o que internalizam as no??es de consist?ncia
e determina??o a n?vel da linguagem-objeto. Esta l?gica constitui-se em uma L?gica
da Inconsist?ncia Formal e em uma L?gica da Indetermina??o Formal. Em tais l?gicas,
com o objetivo de recuperar infer?ncias cl?ssicas perdidas, demonstram-se Teoremas
de Ajuste de Derivabilidade. No caso da l?gica estendida com uma nega??o paraconsistente,
se removermos a implica??o ainda lidaremos com uma linguagem bastante
rica, com ambas nega??es paranormais e seus respectivos conectivos de restaura??o.
Sobre esta linguagem estudamos a l?gica modal normal minimal definida por meio
de um c?lculo de Gentzen apropriado, ? diferen?a dos demais sistemas estudados at?
ent?o, que s?o apresentados via c?lculo de Hilbert. Em seguida ap?s demonstrarmos
a completude do sistema dedutivo associado a este c?lculo, introduzimos algumas
extens?es desse sistema e buscamos Teoremas de Ajuste de Derivabilidade adequados
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Vidal, Wandelmer Amanda. "On modal expansions of t-norm based logics with rational constants." Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/316575.
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According to Zadeh, the term “fuzzy logic” has two different meanings: wide and narrow. In a narrow sense it is a logical system which aims a formalization of approximate reasoning, and so it can be considered an extension of many-valued logic. However, Zadeh also says that the agenda of fuzzy logic is quite different from that of traditional many-valued logic, as it addresses concepts like linguistic variable, fuzzy if-then rule, linguistic quantifiers etc. Hájek, in the preface of his foundational book Metamathematics of Fuzzy Logic, agrees with Zadeh’s distinction, but stressing that formal calculi of many-valued logics are the kernel of the so-called Basic Fuzzy logic (BL), having continuous triangular norms (t-norm) and their residua as semantics for the conjunction and implication respectively, and of its most prominent extensions, namely Lukasiewicz, Gödel and Product fuzzy logics. Taking advantage of the fact that a t-norm has residuum if, and only if, it is left-continuous, the logic of the left-continuous t-norms, called MTL, was soon after introduced.
On the other hand, classical modal logic is an active field of mathematical logic, originally introduced at the beginning of the XXth century for philosophical purposes, that more recently has shown to be very successful in many other areas, specially in computer science. That are the most well-known semantics for classical modal logics.
Modal expansions of non-classical logics, in particular of many-valued logics, have also been studied in the literature. In this thesis we focus on the study of some modal logics over MTL, using natural generalizations of the classical Kripke relational structures where propositions at possible words can be many-valued, but keeping classical accessibility relations.
In more detail, the main goal of this thesis has been to study modal expansions of the logic of a left-continuous t-norm, defined over the language of MTL expanded with rational truth-constants and the Monteiro-Baaz Delta-operator, whose intended (standard) semantics is given by Kripke models with crisp accessibility relations and taking the unit real interval [0, 1] as set of truth-values. To get complete axiomatizations, already known techniques based on the canonical model construction are uses, but this requires to ensure that the underlying (propositional) fuzzy logic is strongly standard complete. This constraint leads us to consider axiomatic systems with infinitary inference rules, already at the propositional level. A second goal of the thesis has been to also develop and automated reasoning software tool to solve satisfiability and logical consequence problems for some of the fuzzy logic modal logics considered.
This dissertation is structured in four parts. After a gentle introduction, Part I contains the needed preliminaries for the thesis be as self-contained as possible. Most of the theoretical results are developed in Parts II and III. Part II focuses on solving some problems concerning the strong standard completeness of underlying non-modal expansions. We first present and axiomatic system for the non-nodal propositional logic of a left-continuous t-norm who makes use of a unique infinitary inference rule, the “density rule”, that solves several problems pointed out in the literature. We further expand this axiomatic system in order to also characterize arbitrary operations over [0, 1] satisfying certain regularity conditions. However, since this axiomatic system turn out to be not well-behaved for the modal expansion, we search for alternative axiomatizations with some particular kind of inference rules (that will be called conjunctive). Unfortunately, this kind of axiomatization does not necessarily exist for all left-continuous t-norms (in particular, it does not exist for the Gödel logic case), but we identify a wide class of t-norms for which it works. This “well-behaved” t-norms include all ordinal sums of Lukasiewiczand Product t-norms.
Part III focuses on the modal expansion of the logics presented before. We propose axiomatic systems (which are, as expected, modal expansions of the ones given in the previous part) respectively strongly complete with respect to local and global Kripke semantics defined over frames with crisp accessibility relations and worlds evaluated over a “well-behaved” left-continuous t-norm. We also study some properties and extensions of these logics and also show how to use it for axiomatizing the possibilistic logic over the very same t-norm. Later on, we characterize the algebraic companion of these modal logics, provide some algebraic completeness results and study the relation between their Kripke and algebraic semantics.
Finally, Part IV of the thesis is devoted to a software application, mNiB-LoS, who uses Satisfability Modulo Theories in order to build an automated reasoning system to reason over modal logics evaluated over BL algebras. The acronym of this applications stands for a modal Nice BL-logics Solver. The use of BL logics along this part is motivated by the fact that continuous t-norms can be represented as ordinal sums of three particular t-norms: Gödel, Lukasiewicz and Product ones. It is then possible to show that these t-norms have alternative characterizations that, although equivalent from the point of view of the logic, have strong differences for what concerns the design, implementation and efficiency of the application. For practical reasons, the modal structures included in the solver are limited to the finite ones (with no bound on the cardinality).
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Pergl, Miroslav. "Vývojové prostředí pro umělou inteligenci Modul fuzzy čísel." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218054.
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Master’s thesis deals with mathematical operation with fuzzy numbers. The first part of the thesis deals with theoretical knowledge of fuzzy arithmetic and defines fuzzy sets, fuzzy numbers, universum and five membership function used in program. In the concrete it describes – cut method for dealing with fuzzy numbers as with limited interval for specific level which simplifies computation. The second part of the thesis contains description of programmed module for mathematical operation with fuzzy numbers. There is described creation of user interface which is using to set parameters of computation. There are also described support functions which make operation with fuzzy numbers possible and operation ensures output.
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García, Z. Yohn E. "Fuzzy logic in process control : a new fuzzy logic controller and an improved fuzzy-internal model controller." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001552.
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GarcÃa, Z. Yohn E. "Fuzzy logic in process control: A new fuzzy logic controller and an improved fuzzy-internal model controller." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/2529.
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Two fuzzy controllers are presented. A fuzzy controller with intermediate variable designed for cascade control purposes is presented as the FCIV controller. An intermediate variable and a new set of fuzzy logic rules are added to a conventional Fuzzy Logic Controller (FLC) to build the Fuzzy Controller with Intermediate Variable (FCIV). The new controller was tested in the control of a nonlinear chemical process, and its performance was compared to several other controllers. The FCIV shows the best control performance regarding stability and robustness. The new controller also has an acceptable performance when noise is added to the sensor signal. An optimization program has been used to determine the optimum tuning parameters for all controllers to control a chemical process. This program allows obtaining the tuning parameters for a minimum IAE (Integral absolute of the error). The second controller presented uses fuzzy logic to improve the performance of the convention
al internal model controller (IMC). This controller is called FAIMCr (Fuzzy Adaptive Internal Model Controller). Twofuzzy modules plus a filter tuning equation are added to the conventional IMC to achieve the objective. The first fuzzy module, the IMCFAM, determines the process parameters changes. The second fuzzy module, the IMCFF, provides stability to the control system, and a tuning equation is developed for the filter time constant based on the process parameters. The results show the FAIMCr providing a robust response and overcoming stability problems. Adding noise to the sensor signal does not affect the performance of the FAIMC.The contributions presented in this work include:The development of a fuzzy controller with intermediate variable for cascade control purposes. An adaptive model controller which uses fuzzy logic to predict the process parameters changes for the IMC controller. An IMC filter tuning equation to update the filter time constant based in the process paramete
rs values. A variable fuzzy filter for the internal model controller (IMC) useful to provide stability to the control system.
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Paulová, Martina. "Vyhodnocení nabídek pomocí fuzzy logiky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241392.
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This diploma thesis deals with the evaluation of offers with the usage of fuzzy logic. It describes methods and processes of a model building. The aim is to make a decision – making model that helps a customer to make decisions between more properties.
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Al-Humaidi, Hanouf M. "A fuzzy logic approach to model delays in construction projects." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1185539202.
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Peterek, Daniel. "Vyhodnocení dodavatelského rizika prostřednictvím fuzzy logiky." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-414170.
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The presented diploma thesis deals with the evaluation of suppliers for the company Ferrit using fuzzy logic. The main part of the diploma thesis deals with the creation of proposals for the solution of the evaluation of suppliers of a selected company. Decision models are created in Microsoft Excel and MATLAB. The comparison of the results of both proposed models is the content of the part of the work.
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Kutláková, Klára. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241171.
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Master's thesis deals with a design of models that allow selection of the most suitable contractor for construction of a company's new branch. Models are based on utilization of basic principles of fuzzy logic. Proposed fuzzy models allow evaluation of individual offers and serve as support in decision-making process.
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Špinár, Lukáš. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444550.
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The diploma thesis deals with the use of fuzzy logic in the evaluation of customers in the business company SPINA Trade, s.r.o. MS Excel and MATLAB are used to program two models. Based on the input attributes regarding the customer, the model evaluates the recommended approach to the customer and his priority.
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Polášek, Petr. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241213.
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The topic of this Thesis is fuzzy logic usage as a tool for choosing a supplier. There was made decision model based on available information which is used as decision support for supplier selection. The solution with application of evaluation is made in programs MS Excel and MATLAB.
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Boštíková, Kateřina. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444553.
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This diploma thesis deals with the use of fuzzy logic principles for evaluation and selection of an optimal supplier of transport services. Based on stated requirements, two models have been created. These models serve as a tool for decision support. The suggestion of solution itself has been created using MS Excel editor and MathWorks MATLAB programming platform. Subsequently, eveluation of particular offers has taken place using the models.
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Ilgner, Tomáš. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-377383.
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Master Thesis deals with supplier rating with usage of fuzzy logic as an advanced decision-making method. There was made a model for selection of the optimal technologies supplier for a self-service vehicle wash. The main solution is realized with support of programs MS Excel and MATLAB.
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Ševčík, Andrej. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378331.
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This diploma thesis deals with the design of fuzzy models to support decision making for selecting the most suitable suppliers for PSL, a.s. Describes methods and procedures for modeling in MS Excel and MATLAB. The goal is to create a decision-making system that will evaluate suppliers to optimize the choice of the most suitable supplier based on the requirements of the selected company.
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Gábrle, Michal. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417646.
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The diploma thesis deals with fuzzy logic and its use in business activities of a distribution company. Two models using fuzzy set theory are presented. These models are able to evaluate quality of customers through their attributes. Based on these calculations, they are classified into several price categories which differ in margin.
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Cato, Jamel H. "An Alternative Approach To Regional Economic Income: A Fuzzy Logic Model of BEA Economic Areas." Thesis, Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-07282005-132241/.
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Thesis (M. S.)--Economics, Georgia Institute of Technology, 2006.<br>Wille J. Belton, Jr., Committee Chair ; Patrick McCarthy, Committee Member ; Usha Nair-Reichert, Committee Member. Includes bibliographical references.
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Pipková, Zuzana. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-240555.
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Presented diploma thesis is involved in the issue of customer evaluation of GALATEK a.s. The main company’s manufacturing program is production of machines for surface treatment. Fuzzy logic models will be used to evaluate customers. This models will be crated in software such as MS Excel and MathWorks MATLAB. First part of the diploma thesis contains theoretical summarization needed to understand whole issue. Basic information about company are presented in second part of the diploma thesis. Third part contains customer evaluation based on co-operation with company, outcomes and proposals which are results of customers evaluation.
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Brückner, Jakub. "Rizika spojená s investováním do vybraných kryptoměn a jejich vyhodnocení za využití fuzzy logiky." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382705.
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The diploma thesis deals with the application of fuzzy logic and advanced decision-making methods for designing a model that can be used in the management of risks related to investment assets (cryptocurrencies) selecting. For a model creation there will be mainly used Fuzzy Logic Toolbox of MATLAB programming environment.
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Biswas, Ajoy. "Dynamic gait stability index using a fuzzy logic model." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27334.
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The field of physical rehabilitation needs a quantitative technique for measuring dynamic gait stability (walking stability) to make decisions regarding treatment, assistive devices, potential for falls, and to track progress during rehabilitation. This measure should be easily applied in a clinical setting, valid across physical disabilities, and must provide a quantitative index that can be used for comparisons over a range of tasks and environments. This research project developed and evaluated a gait stability index using a portable pressure measurement system.
This study examined current stability analysis methods and evaluated dynamic gait stability assessment parameters. Six gait parameters were identified and extracted from a commercial foot pressure measurement system (F-Scan). A fuzzy logic controller combined the six parameters and generated an index value. Fifteen healthy subjects were evaluated at four stability levels. All parameter combinations (57 indices in total) were assessed to isolate the most effective index.
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Chao-Chin, Kan. "Towards a model of strategic management incorporating fuzzy logic." Thesis, University of Hull, 2010. http://hydra.hull.ac.uk/resources/hull:2681.
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Success in strategic management is not only based on the planning view for strategy formulation but also the need to consider strategy implementation. From a strategic planning view, this thesis identifies the six insufficiencies of strategic management: (a) strategy is implemented by means of people, whose behaviour cannot be determined by a plan; (b) strategy needs wide communication in an organization; (c) strategy formulation is separated from implementation; (d) the strategic planning process may contribute to only part of the organization; (e) planning neglects the dynamic environment and interactive influence of relationships; (f) performance measurement neglects qualitative data such as employee satisfaction, customer satisfaction and stakeholders’ performance (Kaplan and Norton, 2004). This research proposes a pluralistic approach –a six-view model consists of roots, stem, and flowers and fruits - the six-views, including logic and language, learning, cultural, political, ethical and planning views as the roots of critical systems thinking for promoting strategic management, which combines formulation and implementation with fuzzy logic by a robust planning, leadership style, participation of organizational members, and stakeholders’ cooperation to overcome the current deficiencies of the planning view particularly in line with the Taiwanese background. This six-views model is also called the “roots theory”, because the source of these views are organizational roots which range from leadership, a company culture built to cohere employees’ beliefs, engages wide communication in different departments, encourages team learning and innovative ideas, and has mutual trust with suppliers and customers, even stakeholders. The stems of the roots theory offers the foresight of a competitive environment with Five-forces analysis to identify the stage of the product life cycle in strategic business units (SBUs) for promoting supply chain operation. Performance evaluation identifies the results of strategy implementation, which includes employee satisfaction, customer satisfaction, and stakeholders’ performance as flowers and fruits of a tree. Effective strategic management results from combining the six-views because strategies fail when strategy is not implemented well (Bossidy and Charan, 2002; Joyce et al., 2003; Kim and Mauborgne, 2005; Kaplan and Norton, 2008). Neilson et al. (2008) point out that enterprises fail at execution because they go straight to structure reorganization and neglect the most powerful drivers of effectiveness - decision rights and information flow. The research was conducted in three interrelated phases. First, the nature of strategic management and different views of strategic management were identified by means of a literature review. Each view of strategic management was shown to be insufficient by Mintzberg’s (1987a) five Ps; and another P (partners’ expectations) came from this research for strategy formulation, so that an integrated thinking approach (Cummings and Daellenbach, 2009) incorporating six-views was needed for effective strategic management. Moreover, two tools of management such as critical systems thinking and fuzzy logic approaches were examined to assess how well they can promote strategic management in organizations. Second, a questionnaire was developed to unveil the current situations of strategic management and confirm the six-views model in Taiwanese companies. The questionnaire was sent to two hundred Taiwanese companies and produced sixty-three usable responses. The SAS package was employed to analyse the data. Simultaneously, senior managers were interviewed from seven manufacturing industries and eight service firms to discover the deeper concerns of strategic management in Taiwanese companies. Finally, four companies were selected as case studies to practically research, to support the interpretation of the results and to induct a novel model of strategic management. Some of the significant findings of the data analysis were that: factor analysis determined that the list of the six-views naturally separated into six distinct groups with Eigenvalue more than one; Duncan’s test showed that the overall companies in the learning, planning and six-views belonged to “Ranking A”. The six-views and the logic and language view were positioned in “Ranking B”. The logic language, cultural and ethical views belonged to “Ranking C”. The political view, however, was placed in “Ranking D” and it had a significantly lower rating compared with the other views. From multiple linear regression analysis, this research revealed that the priority order of significant influence variables were the cultural view, learning view, planning view, and logic and language view to promote strategic management and multi-collinearity was not severe. In fact, descriptive statistics and Eastern and Western management literature disclosed that the political and ethical views can contribute to effective strategic management. Therefore, this thesis applied six-views to promote strategy formulation and implementation. The multiple linear regression analysis of the six-views model disclosed that the six-views can be used as roots to enhance supply chain operation further to achieve better organizational performance in Taiwanese companies. The audit of the six-views by fuzzy logic found that the planning view is perceived as promoting the most effective strategy formulation; however, the integrated five-views for implementation is not strong enough to improve strategic management. Companies A1, A2, A3, and A4 possess strong six-views; they should adopt development strategy. The results of the test showed employee satisfaction, customer satisfaction, and stakeholders’ performancewhere employee satisfaction and customer satisfaction were directly correlated for four companies. In terms of characteristics of industry, the result of strategic management with the six-views linked to stakeholders’ performance with stakeholders’expectations and corporate social issues was consistent with a positive tendency as manufacturing industries, companies A1-A2, and service firms, companies A3-A4. In addition, it is worth mentioning that companies A1, A2 and A4 did not conduct an ideal social political arena of stakeholders’ groups when compared with company A3. In conclusion, the planning view has gained wide acceptance for Taiwanese companies wishing to successfully achieve strategy formulation, but implementation shows insufficiencies. Therefore, this research proposes the six-views model for complementing the lack of a planning view and expands existent theory of the planning view, highlighting the “people” for implementing strategy, especially as related to Taiwanese companies. The roots theory is based on both the theoretical reasoning and empirical evidence, that the analysis of the six-views should play a major role in promoting effective strategic management. The research findings are discussed and recommendations for further research are also proposed.
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Baguley, Paul. "Improving the cost model development process using fuzzy logic." Thesis, De Montfort University, 2004. http://hdl.handle.net/2086/4304.
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Kandiah, Sivasothy. "Fuzzy model based predictive control of chemical processes." Thesis, University of Sheffield, 1996. http://etheses.whiterose.ac.uk/3029/.
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The past few years have witnessed a rapid growth in the use of fuzzy logic controllers for the control of processes which are complex and ill-defined. These control systems, inspired by the approximate reasoning capabilities of humans under conditions of uncertainty and imprecision, consist of linguistic 'if-then' rules which depend on fuzzy set theory for representation and evaluation using computers. Even though the fuzzy rules can be built from purely heuristic knowledge such as a human operator's control strategy, a number of difficulties face the designer of such systems. For any reasonably complex chemical process, the number of rules required to ensure adequate control in all operating regions may be extremely large. Eliciting all of these rules and ensuring their consistency and completeness can be a daunting task. An alternative to modelling the operator's response is to model the process and then to incorporate the process model into some sort of model-based control scheme. The concept of Model Based Predictive Control (MB PC) has been heralded as one of the most significant control developments in recent years. It is now widely used in the chemical and petrochemical industry and it continues to attract a considerable amount of research. Its popularity can be attributed to its many remarkable features and its open methodology. The wide range of choice of model structures, prediction horizon and optimisation criteria allows the control designer to easily tailor MBPC to his application. Features sought from such controllers include better performance, ease of tuning, greater robustness, ability to handle process constraints, dead time compensation and the ability to control nonminimum phase and open loop unstable processes. The concept of MBPC is not restricted to single-input single-output (SISO) processes. Feedforward action can be introduced easily for compensation of measurable disturbances and the use of state-space model formulation allows the approach to be generalised easily to multi-input multi-output (MIMO) systems. Although many different MBPC schemes have emerged, linear process models derived from input-output data are often used either explicitly to predict future process behaviour and/or implicitly to calculate the control action even though many chemical processes exhibit nonlinear process behaviour. It is well-recognised that the inherent nonlinearity of many chemical processes presents a challenging control problem, especially where quality and/or economic performance are important demands. In this thesis, MBPC is incorporated into a nonlinear fuzzy modelling framework. Even though a control algorithm based on a 1-step ahead predictive control strategy has initially been examined, subsequent studies focus on determining the optimal controller output using a long-range predictive control strategy. The fuzzy modelling method proposed by Takagi and Sugeno has been used throughout the thesis. This modelling method uses fuzzy inference to combine the outputs of a number of auto-regressive linear sub-models to construct an overall nonlinear process model. The method provides a more compact model (hence requiring less computations) than fuzzy modelling methods using relational arrays. It also provides an improvement in modelling accuracy and effectively overcomes the problems arising from incomplete models that characterise relational fuzzy models. Difficulties in using traditional cost function and optimisation techniques with fuzzy models have led other researchers to use numerical search techniques for determining the controller output. The emphasis in this thesis has been on computationally efficient analytically derived control algorithms. The performance of the proposed control system is examined using simulations of the liquid level in a tank, a continuous stirred tank reactor (CSTR) system, a binary distillation column and a forced circulation evaporator system. The results demonstrate the ability of the proposed system to outperform more traditional control systems. The results also show that inspite of the greatly reduced computational requirement of our proposed controller, it is possible to equal or better the performance of some of the other fuzzy model based control systems that have been proposed in the literature. It is also shown in this thesis that the proposed control algorithm can be easily extended to address the requirements of time-varying processes and processes requiring compensation for disturbance inputs and dead times. The application of the control system to multivariable processes and the ability to incorporate explicit constraints in the optimisation process are also demonstrated.
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Jelena, Kiurski-Milošević. "Model procene kvaliteta podzemne vode sa povećanim sadržajem arsena primenom fazi logike." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=94978&source=NDLTD&language=en.
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Doktorska disertacija “Model procene kvaliteta podzemne vode sapovećanim sadržajem arsena primenom fazi logike” urađena je kao rezultatpotrebe za istraživanjem mogućnosti primene fazi logike u savremenompristupu procene kvaliteta podzemnih voda. Imajući u vidu da ova tematikanije dovoljno istražena u našem okruženju i da joj nije dat odgovarajućiakcenat i težina, osnovni cilj disertacije je da se razrade optimalni modeli zaprocenu kvaliteta podzemnih voda sa povećanim sadržajem arsena.Disertacija pored teorijske dimenzije prezentuje i primenu evaluiranih fazimodela na primeru eksperimenatlno odabranog lokaliteta grada Zrenjanina.Razvijene modele je moguće transponovati na urbanim i ruralnim područjimauz odgovarajuće iteracije.<br>PhD Thesis “Model assessment for groundwater quality with elevated arseniccontent with application of fuzzy logic” was elaborated as a result of the needto explore the possibilities of application of fuzzy logic in the modernapproach of assessing the groundwater quality. Because this issue has notbeen sufficiently explored and it was not given proper emphasis and weight,the main aim of the dissertation is to develop optimal models for assessingthe groundwater quality with elevated arsenic content. Dissertation, besidestheoretical dimensions, presente and evaluate the implementation of thecreated models to the experimentaly selected locality of the city of Zrenjanin.The developed models can be transposed to the urban and rural areas withappropriate iteration.
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Švik, Matěj. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224309.
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Master's thesis deals with the evaluation of costemers of selected company using fuzzy logic. Designed fuzzy system allows firm to evaluate individual costemers and serves as a support for decision-making.
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Šulc, Ondřej. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241446.
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This master thesis deals with the application of fuzzy logic for evaluating the quality of customers in company PPL CZ s.r.o. For evaluation was used Microsoft Excel and MathWorks MATLAB. There are going to be created models using fuzzy logic. The introductory part is devoted to the theoretical bases that are necessary to understand the whole issue. The second part includes information about the company and analyzes of the current situation. Finally, the last part presents fuzzy models used to evaluation of existing customers.
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Pukaj, Marek. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222120.
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This thesis is analyzing customers of Geocart CZ a.s. company. Thesis is presenting new models of evaluating of customers. Weight mathematic model is created in MS Excel software. In software fuzzyTECH and MATLAB are designed fuzzy models for evaluating of customers with application of fuzzy logic. This method of evaluating should eliminate risk of mistakes with choosing of customers and minimize opportunity costs.
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Gentile, Michela. "Development of a hierarchical fuzzy model for the evaluation of inherent safety." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1277.
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Inherent safety has been recognized as a design approach useful to remove or reduce hazards at the source instead of controlling them with add-on protective barriers. However, inherent safety is based on qualitative principles that cannot easily be evaluated and analyzed, and this is one of the major difficulties for the systematic application and quantification of inherent safety in plant design. The present research introduces the use of fuzzy logic for the measurement of inherent safety by proposing a hierarchical fuzzy model. This dissertation establishes a novel conceptual framework for the analysis of inherent safety and proposes a methodology that addresses several of the limitations of the methodologies available for current inherent safety analysis. This research proposes a methodology based on a hierarchical fuzzy model that analyzes the interaction of variables relevant for inherent safety and process safety in general. The use of fuzzy logic is helpful for modeling uncertainty and subjectivities implied in evaluation of certain variables and it is helpful for combining quantitative data with qualitative information. Fuzzy logic offers the advantage of being able to model numerical and heuristic expert knowledge by using fuzzy IF-THEN rules. Safety is traditionally considered a subjective issue because of the high uncertainty associated with its significant descriptors and parameters; however, this research recognizes that rather than subjective, "safety" is a vague problem. Vagueness derives from the fact that it is not possible to define sharp boundaries between safe and unsafe states; therefore the problem is a "matter of degree". The proposed method is computer-based and process simulator-oriented in order to reduce the time and expertise required for the analysis. It is expected that in the future, by linking the present approach to a process simulator, process engineers can develop safety analysis during the early stages of the design in a rapid and systematic way. Another important aspect of inherent safety, rarely addressed, is transportation of chemical substances; this dissertation includes the analysis of transportation hazard by truck using a fuzzy logic-based approach.
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Friedl, Pavel. "Využití umělé inteligence pro snižování rizika v podniku." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-446766.
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Presented diploma thesis is focused on evaluation of the supplier’s risk and the selection of the most suitable supplier with the use of artificial intelligence. The main part of the diploma thesis deals with the creation of the decision models. The decision models will be created in MS Excel and MATLAB based on the rules of the fuzzy logic. These models will determine the most suitable supplier for the company expert Elektro GOLA s.r.o. and they will also evaluate the supplier’s risk.
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Levy, Bat-Sheva. "Fuzzy logic, a model to explain students' mathematical decision-making." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0026/MQ51391.pdf.
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Brož, Zdeněk. "Fuzzy hodnocení investic - brownfield redevelopment." Doctoral thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-233755.
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Tato disertační práce se zaměřuje na problematiku investování a podporu rozhodování pomocí moderních metod. Zejména pokud jde o analýzu, hodnocení a výběr tzv. brownfieldů pro jejich redevelopment (revitalizaci). Cílem této práce je navrhnout univerzální metodu, která usnadní rozhodovací proces. Proces rozhodování je v praxi komplikován též velkým počet relevantních parametrů ovlivňujících konečné rozhodnutí. Navržená metoda je založena na využití fuzzy logiky, modelování, statistické analýzy, shlukové analýzy, teorie grafů a na sofistikovaných metodách sběru a zpracování informací. Nová metoda umožňuje zefektivnit proces analýzy a porovnávání alternativních investic a přesněji zpracovat velký objem informací. Ve výsledku tak bude zmenšen počet prvků množiny nejvhodnějších alternativních investic na základě hierarchie parametrů stanovených investorem.
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Butler, Mark Henry. "Information processing in liver glucose metabolism." Thesis, University of Liverpool, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367289.
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FNU, Vijaykumar Sureshkumar. "Autonomous Control of A Quadrotor UAV Using Fuzzy Logic." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1428049378.
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Behancová, Katarína. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444558.
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The diploma thesis deals with the evaluation of the quality of customers using fuzzy logic based on the evaluation of their orders. The thesis consists of three parts. The first part is the theoretical basis of the thesis, which explains the issue of fuzzy logic. The second is the analytical part, in which the company ZKN METAL s.r.o. was introduced, for which a specific solution is subsequently proposed in the third and last part of the thesis. This solution is processed in the form of two models. The first of the models is processed in the MS Excel program and the second is modeled using the MATLAB programming environment. Both models are set in a user-intuitive environment and they are compared with each other afterwards.
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Arnett, Timothy J. "Verification of Genetic Fuzzy Systems." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460731645.
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Minár, Lukáš. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318124.
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This diploma thesis is focused on the evaluation of suppliers the selection of the best one for company Fast & Healthy food services, s.r.o. This work describes methods and the process of model creation using fuzzy logic. The aim is to establish two decision models, a model created in MS Excel and a model created in MATLAB which simplify the selection of the supplier.
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Paul, Lukáš. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417671.
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Master thesis deals with the evaluation of the quality of customers of the company ALVAO, s.r.o., using fuzzy logic. MS Excel and MATLAB programs were used for this evaluation, in which models will be created and programmed. The introductory part of the work is devoted to the theoretical background, which is necessary for understanding the whole issue. The second part of the work presents the company ALVAO, s. r. o.. In the design, main, part of the work are processed fuzzy models and a demonstration of the evaluation of real customers of the company.
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Froehling, Kryštof. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444556.
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The diploma thesis deals with the application of the theory of fuzzy logic in the evaluation of client translation commissions for a foreign language text. This fuzzy model is used for better selection of orders and faster allocation of human resources for specific orders. The fuzzy model is composed of multi-valued decision-making criteria that are essential for the company. The model is processed in MS Excel using VBA and MathWorks MATLAB.
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Adamec, Václav. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223597.
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This thesis deals with the use of modern methods of analysis and modeling for the selection of optimal suppliers. This work used the theory of fuzzy logic. The basis of the work is to create tools that help you select the best supplier works for redevelopment of the former railway superstructure on the bike path. This work could arise due to data provided by the Municipal Authorities in Zábřeh.
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Knight, Karla Grace. "A fuzzy logic model for predicting commercial building design cost overruns." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60445.pdf.
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Tan, Sing Yee. "Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/760.
Full textAbstract:
In this research, the improved mass spring model is presented to simulate the human liver deformation. The underlying MSM is redesigned where fuzzy knowledge-based approaches are implemented to determine the stiffness values. Results show that fuzzy approaches are in very good agreement to the benchmark model. The novelty of this research is that for liver deformation in particular, no specific contributions in the literature exist reporting on real-time knowledge-based fuzzy MSM for liver deformation.
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Ondřejíková, Zuzana. "Aplikace fuzzy logiky při hodnocení dodavatelů stavebních prací." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2010. http://www.nusl.cz/ntk/nusl-222447.
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Master’s thesis deals with application of modern methods for analysis and decision-making for optimal supplier selection. There is specifically used a theory of fuzzy logic in the thesis. The goal of the thesis is creation of instrument, which can help a company with choosing the best building work supplier for prefabbed building reconstruction. This study will be used in practice.
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Antão, Rómulo José Magalhães Martins. "Type-2 fuzzy logic: uncertain systems' modeling and control." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/18041.
Full textAbstract:
Doutoramento em Engenharia Eletrotécnica<br>A última fronteira da Inteligência Artificial será o desenvolvimento de
um sistema computacional autónomo capaz de "rivalizar" com a capacidade
de aprendizagem e de entendimento humana. Ainda que tal
objetivo não tenha sido até hoje atingido, da sua demanda resultam
importantes contribuições para o estado-da-arte tecnológico atual. A
Lógica Difusa é uma delas que, influenciada pelos princípios fundamentais
da lógica proposicional do raciocínio humano, está na base
de alguns dos sistemas computacionais "inteligentes" mais usados da
atualidade.
A teoria da Lógica Difusa é uma ferramenta fundamental na suplantação
de algumas das limitações inerentes à representação de informação
incerta em sistemas computacionais. No entanto esta apresenta
ainda algumas lacunas, pelo que diversos melhoramentos à teoria
original têm sido introduzidos ao longo dos anos, sendo a Lógica
Difusa de Tipo-2 uma das mais recentes propostas. Os novos graus de
liberdade introduzidos por esta teoria têm-se demonstrado vantajosos,
particularmente em aplicações de modelação de sistemas não-lineares
complexos. Uma das principais vantagens prende-se com o aumento
da robustez dos modelos assim desenvolvidos comparativamente àqueles
baseados nos princípios da Lógica Difusa de Tipo-1 sem implicar
necessariamente um aumento da sua dimensão. Tal propriedade é particularmente
vantajosa considerando que muitas vezes estes modelos
são utilizados como suporte ao desenvolvimento de sistemas de controlo
que deverão ser capazes de assegurar o comportamento ótimo
de um processo em condições de operação variáveis. No entanto, o
estado-da-arte da teoria de controlo de sistemas baseada em modelos
não tem integrado todos os melhoramentos proporcionados pelo desenvolvimento
de modelos baseados nos princípios da Lógica Difusa de
Tipo-2.
Por essa razão, a presente tese propõe-se a abordar este tópico desenvolvendo
uma metodologia de síntese de Controladores Preditivos
baseados em modelos Takagi-Sugeno seguindo os princípios da Lógica
Difusa de Tipo-2. De modo a cumprir este objetivo, quatro linhas de
investigação serão debatidas neste trabalho.Primeiramente proceder-se-á ao desenvolvimento de uma metodologia
de treino de Modelos Difusos de Tipo-2 simplificada, focada em dois
paradigmas: manter a clareza dos intervalos de incerteza introduzidos
sobre um Modelo Difuso de Tipo-1; assegurar a validade dos diversos
modelos localmente lineares que constituem a estrutura Takagi-
Sugeno, de modo a torná-los adequados a métodos de síntese de controladores
baseados em modelos.
O modelo desenvolvido é tipicamente utilizado para extrapolar o comportamento
do sistema numa janela temporal futura. No entanto,
quando usados em aproximações de sistemas não lineares, os modelos
do tipo Takagi-Sugeno estabelecem um compromisso entre exatidão e
complexidade computacional. Assim, é proposta a utilização dos princípios
da Lógica Difusa de Tipo-2 para reduzir a influência dos erros de
modelação nas estimações obtidas através do ajuste dos intervalos de
incerteza dos parâmetros do modelo.
Com base na estrutura Takagi-Sugeno, um método de linearização local
de modelos não-lineares será utilizado em cada ponto de funcionamento
do sistema de modo a obter os parâmetros necessários para a
síntese de um controlador otimizado numa janela temporal futura de
acordo com os princípios da teoria de Controlo Preditivo Generalizado -
um dos algoritmos de Controlo Preditivo mais utilizado na indústria. A
qualidade da resposta do sistema em malha fechada e a sua robustez a
perturbações serão então comparadas com implementações do mesmo
algoritmo baseadas em métodos de modelação mais simples.
Para concluir, o controlador proposto será implementado num
System-on-Chip baseado no core ARM Cortex-M4. Com o propósito
de facilitar a realização de testes de implementação de algoritmos
de controlo em sistemas embutidos, será apresentada também uma
plataforma baseada numa arquitetura Processor-In-the-Loop, que permitirá
avaliar a execução do algoritmo proposto em sistemas computacionais
com recursos limitados, aferindo a existência de possíveis
limitações antes da sua aplicação em cenários reais.
A validade do novo método proposto é avaliada em dois cenários de
simulação comummente utilizados em testes de sistemas de controlo
não-lineares: no Controlo da Temperatura de uma Cuba de Fermentação
e no Controlo do Nível de Líquidos num Sistema de Tanques
Acoplados. É demonstrado que o algoritmo de controlo desenvolvido
permite uma melhoria da performance dos processos supramencionados,
particularmente em casos de mudança rápida dos regimes de funcionamento
e na presença de perturbações ao processo não medidas.<br>The development of an autonomous system capable of matching
human knowledge and learning capabilities embedded in a compact
yet transparent way has been one of the most sought milestones of
Artificial Intelligence since the invention of the first mechanical general
purpose computers. Such accomplishment is yet to come but, in its
pursuit, important contributions to the state-of-the-art of current technology
have been made. Fuzzy Logic is one of such, supporting some
of the most used frameworks for embedding human-like knowledge in
computational systems.
The theory of Fuzzy Logic overcame some of the difficulties that the
inherent uncertainty in information representations poses to the development
of computational systems. However, it does present some
limitations so, aiming to further extend its capabilities, several improvements
over its original formalization have been proposed over the
years such as Type-2 Fuzzy Logic - one of its most recent advances.
The additional degrees of freedom of Type-2 Fuzzy Logic are showing
greater potential to supplant its original counterpart, especially in
complex non-linear modeling tasks. One of its main outcomes is its
capability of improving the developed model’s robustness without necessarily
increasing its dimensionality comparatively to a Type-1 Fuzzy
Model counterpart. Such feature is particularly advantageous if one
considers these model as a support for developing control systems capable
of maintaining a process’s optimal performance over changing
operating conditions. However, state-of-the art model-based control
theory does not seem to be taking full advantage of the improvements
achieved with the development of Type-2 Fuzzy Logic based models.
Therefore, this thesis proposes to address this problem by developing a
Model Predictive Control system supported by Interval Type-2 Takagi-
Sugeno Fuzzy Models. To accomplish this goal, four main research
directions are covered in this work.Firstly, a simpler method for training a Type-2 Takagi-Sugeno Fuzzy
Model focused on two main paradigms is proposed: maintaining a
meaningful interpretation of the uncertainty intervals embedded over
an estimated Type-1 Fuzzy Model; ensuring the validity of several locally
linear models that constitute the Takagi-Sugeno structure in order
to make them suitable for model-based control approaches.
Based on the developed model, a multi-step ahead estimation of the
process behavior is extrapolated. However, as Takagi-Sugeno Fuzzy
Models establish a trade-off between accuracy and computational complexity
when used as a non-linear process approximation, it is proposed
to apply the principles of Type-2 Fuzzy Logic to reduce the influence
of modeling uncertainties on the obtained estimations by adjusting the
model parameters’ uncertainty intervals.
Supported by the developed Type-2 Takagi-Sugeno Fuzzy Model, a
locally linear approximation of each current operation point is used to
obtain the optimal control law over a prediction horizon according to
the principles of Generalized Predictive Control - one of the most used
Model Predictive Control algorithms in Industry. The improvements in
terms of closed loop tracking performance and robustness to unmodeled
operation conditions are then assessed comparatively to Generalized
Predictive Control implementations based on simpler modeling
approaches.
Ultimately, the proposed control system is implemented in a general
purpose System-on-a-Chip based on a ARM Cortex-M4 core. A
Processor-In-the-Loop testing framework, developed to support the implementation
of control loops in embedded systems, is used to evaluate
the algorithm’s turnaround time when executed in such computationally
constrained platform, assessing its possible limitations before deployment
in real application scenarios.
The applicability of the new methods introduced in this thesis is illustrated
in two simulated processes commonly used in non-linear control
benchmarking: the Temperature Control of a Fermentation Reactor
and the Liquid Level Control of a Coupled Tanks System. It is shown
that the developed control system achieves an improved closed loop
performance of the above mentioned processes, particularly in the cases
of quick changes in the operation regime and in presence of unmeasured
external disturbances.
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Lin, Eugene S. "A fuzzy global minimum snake model for contour detection /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6120.
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Laskey, Henry Keith. "Fuzzy logic control of torsional lateral modal response in offset geared machine trains." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0011/NQ32837.pdf.
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Valiulis, Gediminas. "Sklendinės ir skysčio lygio valdymas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2005. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050619_185732-75917.
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This master thesis deals with the virtual gate position and liquid level control system. The main characteristics of automatic control systems, fuzzy logic systems, their properties and formation principles are reviewed. Conventional and advanced control methods are presented pointing out their benefits, drawbacks and problems to be solved. Physical modelling and simulation issues are also discussed. Physical, mathematical, simulation and animation models of the system are produced. Position and level controllers are designed. The simulation of gate position and liquid level control processes is performed. The simulation model is built up using MATLAB Simulink and Fuzzy Logic Toolbox. The simulation results prove that the proportional controller fits very well for controlling gate position. However, the results of liquid level control “upwards” using PI controller are only satisfactory. Unsatisfactory results are obtained using the same controller for liquid level control “downwards”. Substantially better results are achieved using fuzzy logic controller. The models produced can be useful for further investigations and learning purposes.
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SPOLAOR, SIMONE. "Fuzzy logic for the modeling and simulation of complex systems." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/263538.
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I sistemi complessi generalmente mostrano comportamenti emergenti dinamici, che non possono essere spiegati da una mera descrizione delle parti che li costituiscono. Tali sistemi sono ubiquitari in contesti sia naturali che artificiali, spaziando dalla biologia alla fisica, dall’ingegneria all’economia, e suscitano l’interesse di molti scienziati appartenenti a diversi campi di ricerca. Per ottenere una più chiara comprensione del loro funzionamento, i sistemi complessi sono studiati tramite l’uso di metodi computazionali, che permettono di riprodurne il comportamento in silico. Di conseguenza, negli ultimi decenni numerosi formalismi matematici sono stati sviluppati per modellare i sistemi complessi, rappresentare diversi aspetti del loro comportamento dinamico e sfruttare i dati quantitative e qualitativi a disposizione riguardo le loro componenti. Lo scopo di questa tesi è mostrare come è possibile sfruttare la logica fuzzy per superare alcune delle limitazioni ancora presenti nella modellazione dei sistemi complessi, ovvero: predire comportamenti dinamici emergenti anche in assenza di informazioni quantitative precise; tener conto della presenza di componenti eterogenee, distribuite su diversi livelli di organizzazione temporale, spaziale e funzionale; colmare il divario esistente tra la modellazione quantitativa e quella qualitativa, in modo da definire modelli ibridi in grado di sfruttare simultaneamente i vantaggi peculiari di ciascun approccio. I nuovi framework di modellazione basati sulla logica fuzzy presentati in questa tesi sono stati utilizzati per analizzare il comportamento di due sistemi reali, nel contesto della biologia cellulare. I risultati dimostrano che i framework sviluppati riproducono il comportamento dei sistemi complessi e valutare la loro risposta alle perturbazioni, anche quando dati quantitativi sono assenti o alcune componenti del sistema non sono completamente caratterizzate. Questi framework potrebbero trovare applicazione in diversi campi di ricerca, comprese, tra gli altri, la biologia, la medicina e la farmacologia, che spesso si trovano ad affrontare sfide di questo genere.<br>Complex systems typically display emergent dynamic behaviors, which cannot be outlined by a mere description of their constituting parts. Such systems are ubiquitous in natural and artificial settings, ranging from biology and physics, to engineering and economics, and spark the interest of many scientists belonging to different research fields. To gain better insights on their inner working, complex systems are studied by means of computational methods, which allow to model and reproduce their behavior in silico. As a consequence, several mathematical formalisms were developed in the last decades to model complex systems, capture different features of their dynamic behavior, and leverage any available quantitative or qualitative data about their components. The aim of this thesis is to show how fuzzy logic can be exploited to overcome some of the limitations that still affect the modeling of complex systems, namely: predict emergent dynamic behaviors even when there is a lack of precise quantitative information; deal with the presence of heterogeneous systems components, spanning different levels of temporal, spatial of functional organization; bridge the gap between quantitative and qualitative modeling, in order to define hybrid models that can simultaneously exploit the peculiar advantages provided by both approaches. The novel modeling frameworks presented in this thesis based on fuzzy logic have been employed to analyze the behavior of two real world systems, in the context of cellular biology. The results show that the developed frameworks correctly reproduce the behavior of complex systems and assess their response to perturbations, even when quantitative information is missing or some system components are not fully characterized. These frameworks could find applications in several fields, including, but not limited to, biology, medicine and pharmacology, which often face such challenges.
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Chuang, Wei Kuo. "Computational model for engineering design and development." Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263496.
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Odyurt, Uraz. "Application of Fuzzy Logic in Identity-Based Cryptography." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35134.
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This work explains the fundamental definitions required to define and create Fuzzy Identity-Based Encryption schemes as an error-tolerant version of Identity-Based Encryption schemes, along with three different examples of such creations. These examples are Sahai-Waters' FIBE, Baek et al.'s EFIBE-I and EFIBE-II. The required Set-up, Key Generation, Encryption and Decryption algorithms for each scheme are formalized and the proofs of security using the Selective-ID model are introduced. Subtle differences between the three schemes are discussed, including their computational efficiency comparison. The writing is intended as a self-sufficient resource for readers, containing the schemes and background definitions.
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Zegzulka, Ivo. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224446.
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This thesis deals with the design of fuzzy system that can evaluate supplier of spare parts for service. The result should be applicable to a company Iveta Šťastníková - car and tire service. Primarily it should simplify operations associated with the selection of appropriate spare parts, tools and other equipment needed to operate with car service station. First, we introduce the theoretical basis for the paper, and then we go to the present state and the analysis itself. The result is a proposed solution which should correspond to the needs of the owner.