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Dissertations / Theses on the topic 'Fuzzy'

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Published: 4 June 2021
Last updated: 25 July 2025

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1

Mezzomo, Ivan. "On fuzzy ideals and fuzzy filters of fuzzy lattices." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18692.

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Made available in DSpace on 2015-03-03T15:48:40Z (GMT). No. of bitstreams: 1 IvanM_TESE.pdf: 1798098 bytes, checksum: 03ae24b47cf77f2591da995af74bd268 (MD5) Previous issue date: 2013-12-06<br>In the literature there are several proposals of fuzzi cation of lattices and ideals concepts. Chon in (Korean J. Math 17 (2009), No. 4, 361-374), using the notion of fuzzy order relation de ned by Zadeh, introduced a new notion of fuzzy lattice and studied the level sets of fuzzy lattices, but did not de ne a notion of fuzzy ideals for this type of fuzzy lattice. In this thesis, using the fuzzy
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Biba, Vladislav. "Generované fuzzy implikátory ve fuzzy rozhodování." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-233558.

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3

Costa, Claudilene Gomes da. "Probabilidades imprecisas: intervalar, fuzzy e fuzzy intuicionista." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15202.

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Made available in DSpace on 2014-12-17T14:55:08Z (GMT). No. of bitstreams: 1 ClaudileneGC_TESE.pdf: 853804 bytes, checksum: 011bfb4befb8b54fce2cd4b1b724efdb (MD5) Previous issue date: 2012-08-20<br>The idea of considering imprecision in probabilities is old, beginning with the Booles George work, who in 1854 wanted to reconcile the classical logic, which allows the modeling of complete ignorance, with probabilities. In 1921, John Maynard Keynes in his book made explicit use of intervals to represent the imprecision in probabilities. But only from the work ofWalley in 1991 that were establish
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4

Klapil, Ondřej. "Fuzzy systémy s netradičními antecedenty fuzzy pravidel." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-220884.

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The aim of this work is to introduce a new type of fuzzy system AnYa. This system, unlike the classical fuzzy systems Takagi-Sugeno and Mamdani, uses a type of antecendent based on real data distribution. As part of the work there will be mentioned system programmed and its functionality will be verified on testing data.
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Gomes, Luciana Takata 1984. "On fuzzy differential equations = Sobre equações diferenciais fuzzy." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/307565.

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Orientadores: Laécio Carvalho de Barros, Barnabas Bede<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática, Estatística e Computação Científica<br>Made available in DSpace on 2018-08-24T00:25:40Z (GMT). No. of bitstreams: 1 Gomes_LucianaTakata_D.pdf: 2706174 bytes, checksum: bb5833b7b2c8f5e094b30eefd64e7426 (MD5) Previous issue date: 2014<br>Resumo: A partir da proposta das definições de derivada e integral fuzzy via extensão de Zadeh dos respectivos operadores para funções clássicas, obtemos uma versão do teorema fundamental do cálculo e desenvolvemos uma nova
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Naman, Saleem Muhammad. "Eigen Fuzzy Sets of Fuzzy Relation with Applications." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4060.

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Eigen fuzzy sets of fuzzy relation can be used for the estimation of highest and lowest levels of involved variables when applying max-min composition on fuzzy relations. By the greatest eigen fuzzy sets (set which can be greater anymore) maximum membership degrees of any fuzzy set can be found, with the help of least eigen fuzzy set (set which can be less anymore) minimum membership degrees of any fuzzy sets can be found as well.The lowest and highest level, impact or e ffect of anything can be found by applying eigen fuzzy set theory. The implicational aspect of this research study is medica
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7

Lee, John Wan Tung. "The discovery of fuzzy rules from fuzzy databases." Thesis, University of Sunderland, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298322.

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8

Hüsselmann, Claus. "Fuzzy-Geschäftsprozessmanagement /." Lohmar ; Köln : Eul, 2003. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=010483351&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Zugl.: Saarbrücken, Universiẗat, Diss., 2003 u.d.T.: Hüsselmann, Claus: Unscharfe Informationen in der Unternehmensmodellierung - formale Integration von Unbestimmtheitsaspekten in die ereignisgesteuerte Geschäftsprozessmodellierung.
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9

Strobel, Cornelia. "Fuzzy Fingerprinting." Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200500106.

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Fingerprints play an important role in biometrics and cryptography. Their creation might be based on one-way hash functions, which should usually also be collision-resistant. But users tend to draw less attention at those fingerprints - so an attacker might hand out a similar fingerprint in order to spoof identity. The main ideas for creating such 'fuzzy fingerprints' and the creation algorithm itself are discussed in this lecture. The demonstration of the tool, that produces fuzzy fingerprints shows the practical background of this technique<br>Fingerabdrücke besitzen sowohl in der Kryptograp
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10

Murugan, Anand. "Fuzzy blackholes." Pomona College, 2007. http://ccdl.libraries.claremont.edu/u?/stc,18.

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The fuzzball model of a black hole is an attempt to resolve the many paradoxes and puzzles of black hole physics that have revealed themselves over the last century. These badly behaved solutions of general relativity have given physicists one of the few laboratories to test candidate quantum theories of gravity. Though little is known about exactly what lies beyond the event horizon, and what the ultimate fate of matter that falls in to a black hole is, we know a few intriguing and elegant semi-classical results that have kept physicists occupied. Among these are the known black hole entropy
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11

Duarte, Filho Jorge Costa. "Integrais fuzzy." [s.n.], 1988. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306487.

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Orientador : Rodney C. Bassanezi<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Científica<br>Made available in DSpace on 2018-07-14T08:43:31Z (GMT). No. of bitstreams: 1 DuarteFilho_JorgeCosta_M.pdf: 1064333 bytes, checksum: 7ef95cdb5f42d0a9d2158f71df322865 (MD5) Previous issue date: 1988<br>Resumo: Não informado<br>Abstract: Not informed<br>Mestrado<br>Mestre em Matemática
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Geronimo, João Roberto 1963. "Medidas fuzzy." [s.n.], 1988. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306469.

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Orientador: Rodney Carlos Bassanezi<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Científica<br>Made available in DSpace on 2018-07-14T16:23:12Z (GMT). No. of bitstreams: 1 Geronimo_JoaoRoberto_M.pdf: 2298898 bytes, checksum: 4b2899c37ba8eea243bb1b0687ba710c (MD5) Previous issue date: 1988<br>Resumo: Não informado<br>Abstract: Not informed<br>Mestrado<br>Mestre em Matemática Aplicada
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Ralbovský, Martin. "Fuzzy GUHA." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-77047.

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The GUHA method is one of the oldest methods of exploratory data analysis, which is regarded as part of the data mining or knowledge discovery in databases (KDD) scienti_c area. Unlike many other methods of data mining, the GUHA method has firm theoretical foundations in logic and statistics. In scope of the method, finding interesting knowledge corresponds to finding special formulas in satisfactory rich logical calculus, which is called observational calculus. The main topic of the thesis is application of the "fuzzy paradigm" to the GUHA method By the term "fuzzy paradigm" we mean approache
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14

Palancioglu, Haci Mustafa. "Extracting Movement Patterns Using Fuzzy and Neuro-fuzzy Approaches." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/PalanciogluHM2003.pdf.

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15

Morillas, Gómez Samuel. "Fuzzy metrics and fuzzy logic for colour image filtering." Doctoral thesis, Universitat Politècnica de València, 2008. http://hdl.handle.net/10251/1879.

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El filtrado de imagen es una tarea fundamental para la mayoría de los sistemas de visión por computador cuando las imágenes se usan para análisis automático o, incluso, para inspección humana. De hecho, la presencia de ruido en una imagen puede ser un grave impedimento para las sucesivas tareas de procesamiento de imagen como, por ejemplo, la detección de bordes o el reconocimiento de patrones u objetos y, por lo tanto, el ruido debe ser reducido. En los últimos años el interés por utilizar imágenes en color se ha visto incrementado de forma significativa en una gran variedad de aplicacion
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16

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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García, 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 acceptab
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18

Chen, Guiming. "Fuzzy FOIL: A fuzzy logic based inductive logic programming system." Thesis, University of Ottawa (Canada), 1996. http://hdl.handle.net/10393/9621.

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In many domains, characterizations of a given attribute are imprecise, uncertain and incomplete in the available learning examples. The definitions of classes may be vague. Learning systems are frequently forced to deal with such uncertainty. Traditional learning systems are designed to work in the domains where imprecision and uncertainty in the data are absent. Those learning systems are limited because of their impossibility to cope with uncertainty--a typical feature of real-world data. In this thesis, we developed a fuzzy learning system which combines inductive learning with a fuzzy appr
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19

Mehmood, Rashid. "Fuzzy linear programming problems solved with Fuzzy decisive set method." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1201.

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In the thesis, there are two kinds of fuzzy linear programming problems, one of them is a linear programming problem with fuzzy technological coefficients and the second is linear programming problem in which both the right-hand side and the technological coefficients are fuzzy numbers. I solve the fuzzy linear programming problems with fuzzy decisive set method.
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20

Peña, Reyes Carlos Andrés. "Coevolutionary fuzzy modeling /." [S.l.] : [s.n.], 2002. http://library.epfl.ch/theses/?display=detail&nr=2634.

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21

Murugan, Anand. "The fuzzy horizon." Pomona College, 2007. http://ccdl.libraries.claremont.edu/u?/stc,24.

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The fuzzball model of a black hole is an attempt to resolve the many paradoxes and puzzles of black hole physics that have revealed themselves over the last century. These badly behaved solutions of general relativity have given physicists one of the few laboratories to test candidate quantum theories of gravity. Though little is known about exactly what lies beyond the event horizon, and what the ultimate fate of matter that falls in to a black hole is, we know a few intriguing and elegant semi-classical results that have kept physicists occupied. Among these are the known black hole entropy
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22

Ruziyeva, Alina. "Fuzzy Bilevel Optimization." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2013. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-106378.

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In the dissertation the solution approaches for different fuzzy optimization problems are presented. The single-level optimization problem with fuzzy objective is solved by its reformulation into a biobjective optimization problem. A special attention is given to the computation of the membership function of the fuzzy solution of the fuzzy optimization problem in the linear case. Necessary and sufficient optimality conditions of the the convex nonlinear fuzzy optimization problem are derived in differentiable and nondifferentiable cases. A fuzzy optimization problem with both fuzzy objectives
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Karim, Ehsanul, Sri Phani Venkata Siva Krishna Madani, and Feng Yun. "Fuzzy Clustering Analysis." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2165.

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The Objective of this thesis is to talk about the usage of Fuzzy Logic in pattern recognition. There are different fuzzy approaches to recognize the pattern and the structure in data. The fuzzy approach that we choose to process the data is completely depends on the type of data. Pattern reorganization as we know involves various mathematical transforms so as to render the pattern or structure with the desired properties such as the identification of a probabilistic model which provides the explaination of the process generating the data clarity seen and so on and so forth. With this basic sch
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Parker, Jonathon Karl. "Accelerated Fuzzy Clustering." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4929.

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Clustering algorithms are a primary tool in data analysis, facilitating the discovery of groups and structure in unlabeled data. They are used in a wide variety of industries and applications. Despite their ubiquity, clustering algorithms have a flaw: they take an unacceptable amount of time to run as the number of data objects increases. The need to compensate for this flaw has led to the development of a large number of techniques intended to accelerate their performance. This need grows greater every day, as collections of unlabeled data grow larger and larger. How does one increase the spe
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Shell, Jethro. "Fuzzy transfer learning." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/8842.

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The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world applications that require a model to be produced but have little or no data available of the specific environment. These situations are prominent in Intelligent Environments (IEs). The sparsity of the data can be a result of the physical nature of the implementation, such as sensors placed into disaster recovery scenarios, or where the focus of the data acquisition is on very defined user groups, in the case of disabled individuals. Standard machine learnin
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Flores, Heriberto Eduardo Roman. "Sobre entropias Fuzzy." [s.n.], 1989. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306480.

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Orientador: Rodney Carlos Bassanezy<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Científica<br>Made available in DSpace on 2018-07-14T02:03:54Z (GMT). No. of bitstreams: 1 Flores_HeribertoEduardoRoman_M.pdf: 1678168 bytes, checksum: 55907f1ec85bd31fa6cba1db831ae64d (MD5) Previous issue date: 1989<br>Resumo: Não informado.<br>Abstract: Not informed.<br>Mestrado<br>Doutor em Matemática
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Costa, Valdigleis da Silva. "Linguagens lineares fuzzy." PROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/25642.

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Submitted by Automação e Estatística (sst@bczm.ufrn.br) on 2018-07-30T13:28:52Z No. of bitstreams: 1 ValdigleisDaSilvaCosta_DISSERT.pdf: 14438862 bytes, checksum: 0296c1fddc9f8c42cbaf0336bdad7e55 (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2018-07-30T22:29:06Z (GMT) No. of bitstreams: 1 ValdigleisDaSilvaCosta_DISSERT.pdf: 14438862 bytes, checksum: 0296c1fddc9f8c42cbaf0336bdad7e55 (MD5)<br>Made available in DSpace on 2018-07-30T22:29:06Z (GMT). No. of bitstreams: 1 ValdigleisDaSilvaCosta_DISSERT.pdf: 14438862 bytes, checksum: 0296c1fddc9f
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González, Marek. "Fuzzy neuronové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234941.

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This thesis focuses on fuzzy neural networks. The combination of the fuzzy logic and artificial neural networks leads to the development of more robust systems. These systems are used in various field of the research, such as artificial intelligence, machine learning and control theory. First, we provide a quick overview of underlying neural networks and fuzzy systems to explain fundamental ideas that form the basis of the fields, and follow with the introduction of the fuzzy neural network theory, classification and application. Then we describe a design and a realization of the fuzzy associa
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Dalecký, Štěpán. "Neuro-fuzzy systémy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236066.

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The thesis deals with artificial neural networks theory. Subsequently, fuzzy sets are being described and fuzzy logic is explained. The hybrid neuro-fuzzy system stemming from ANFIS system is designed on the basis of artificial neural networks, fuzzy sets and fuzzy logic. The upper-mentioned systems' functionality has been demonstrated on an inverted pendulum controlling problem. The three controllers have been designed for the controlling needs - the first one is on the basis of artificial neural networks, the second is a fuzzy one, and the third is based on ANFIS system.  The thesis is aimed
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Burton, Michael Howard. "Fuzzy uniform spaces." Thesis, Rhodes University, 1992. http://hdl.handle.net/10962/d1005222.

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For a fuzzy uniform space, the notion of a Cauchy prefilter, a precompact fuzzy set, a complete fuzzy set and a bounded fuzzy set are defined in such a way that these notions are good extensions of the corresponding notions for a uniform space. A theory of fuzzy uniform spaces is developed which generalises the theory of uniform spaces.
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Stahl, Christoph. "Ein stark konsistenter Kleinst-Quadrate-Schätzer in einem linearen Fuzzy-Regressionsmodell mit fuzzy Parametern und fuzzy abhängigen Variablen." [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=972312188.

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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 comp
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Cerami, Marco. "Fuzzy Description Logics from a Mathematical Fuzzy Logic point of view." Doctoral thesis, Universitat de Barcelona, 2012. http://hdl.handle.net/10803/113374.

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Description Logic is a formalism that is widely used in the framework of Knowledge Representation and Reasoning in Artificial Intelligence. They are based on Classical Logic in order to guarantee the correctness of the inferences on the required reasoning tasks. It is indeed a fragment of First Order Predicate Logic whose language is strictly related to the one of Modal Logic. Fuzzy Description Logic is the generalization of the classical Description Logic framework thought for reasoning with vague concepts that often arise in practical applications. Fuzzy Description Logic has been investi
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Liu, Da-Wei, and 劉大緯. "Fuzzy Clustering with Fuzzy Data." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/86106062732395692984.

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碩士<br>國立清華大學<br>工業工程研究所<br>85<br>In this thesis , we proposed a method to solve a general clustering problem of which the data is fuzzy. There are two major parts in this thesis: one is model-development and the other is a practical application. Regarding the model-development, we extended the Bi-Objective Fuzzy C-means method to the one that can classify fuzzy data by the interval of any h-cut. When we use the proposed method, we not only have the most homogeneous classification(when h=l), but also have different clusterings from different h values. As for the practical applications , we
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XIAO, WEN-ZHONG, and 蕭文忠. "Using fuzzy implication and fuzzy reasoning to construct a fuzzy model." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/20779058889686674201.

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"Fuzzy semigroups and fuzzy implicative algebra." 2004. http://library.cuhk.edu.hk/record=b6073743.

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Lee Shuk Yee.<br>"October 2004."<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 2004.<br>Includes bibliographical references (p. 87-92)<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Mode of access: World Wide Web.<br>Abstracts in English and Chinese.
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蔡俊傑. "Linear fuzzy maps and fuzzy digraphs." Thesis, 1987. http://ndltd.ncl.edu.tw/handle/15021080986973247962.

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陳俊男. "Fuzzy classification of interval fuzzy set." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/06405059327459082910.

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Chen, Ze-jin, and 陳澤金. "New Fuzzy Interpolative Reasoning Methods based on Piecewise Fuzzy Entropies of Fuzzy Sets, Piecewise Fuzzy Entropies of Rough-Fuzzy Sets and the Ratios of Fuzziness of Rough-Fuzzy Sets." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/70287632518485817267.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>102<br>Fuzzy interpolative reasoning is a very important research topic for sparse fuzzy rule-based systems. It can overcome the drawbacks of sparse fuzzy rule-based systems and can reduce the complexity of fuzzy rule bases for fuzzy rule-based systems. In this thesis, we propose two new fuzzy interpolative reasoning methods for sparse fuzzy rule-based systems based on type-1 fuzzy sets and rough-fuzzy sets, respectively. In the first method of our thesis, we propose a new method for weighted fuzzy interpolative reasoning based on piecewise fuzzy entropies of fuzzy s
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Chou, Ming-Tao, and 周明道. "Fuzzy forecasting based on fuzzy time series." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/06057519378920930426.

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博士<br>國立臺灣海洋大學<br>航運管理學系<br>92<br>Abstract Reviewing literatures in fuzzy time series published so far, we find that none of them provide the definition of lower and upper bound of the universe under consideration. Therefore, in this thesis, we propose a method to determine the lower and upper bound of the universe and show that under circumstances where the universe is determined by our method, the forecasting will be better. Taking the instance of the export TEU in Keelung as a benchmark, we compare traditional Season Autoregressive Integrated Moving-Average (SARIMA) with fuzzy time series.
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林小惠. "Fuzzy Clustering Algorithm on Intuition Fuzzy Relations." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/50295746461402621793.

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碩士<br>國立新竹師範學院<br>數理研究所<br>91<br>Tamura et al. (1978) constructed an n-step procedure using max-min composition of fuzzy relations and extended to all types of max-t compositions. Yang and Shih (2001) proposed an n-step procedure using max-Δcomposition and proved that max-Δcompositions is better. Here, the n-step procedure is extended to max-t and min-s compositions from Tamura’s (1978) and Yang’s (2001) n-step procedures and it is established on Atanassov’s (1989) point of view－intuitionistic fuzzy sets. Then a clustering algorithm on intuition fuzzy relation is created for the max-t and min-
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Hung, Kuo-Chen, and 洪國禎. "alpha Cut Fuzzy Arithmetic Simplifying Rules, Fuzzy Weighted Average and Fuzzy Function Optimization." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/36542834489043779403.

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博士<br>東海大學<br>工業工程與經營資訊學系<br>94<br>The fuzzy theory has been used to solve various problems in management science and engineering. Hence, it becomes important to use fuzzy arithmetic operations. The main purpose of this dissertation is to investigate the procedures of fuzzy arithmetic operation. Furthermore, it provides simplifying rules of fuzzy arithmetic to save required time of arithmetic operation efficiently. We divided this article into three parts to investigate: simplifying rules, fuzzy weighted average (FWA) and fuzzy function optimization. First, the problems of Alpha-cut fuzzy arit
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Lu, Ten lin, and 呂天齡. "A study of fuzzy modeling identification apporach based on fuzzy reasoning and fuzzy cluster." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/83037759907896641744.

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碩士<br>國立臺灣師範大學<br>工業教育學系<br>84<br>The purpose of this study was to design a fuzzy modeling identification approach which was based on fuzzy reasoning and fuzzy cluster and to improve the defects of traditional fuzzy modeling identification approach. In this study, first applying the fuzzy reasoning concepts induced the fuzzy model and made the base of a fuzzy modeling identification. Then applying a hierarchical fuzzy clustering approach to classify the output data, it could identify the co
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Aghakhani, Sara. "Neuro-fuzzy architecture based on complex fuzzy logic." 2010. http://hdl.handle.net/10048/891.

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Thesis (M.Sc.)--University of Alberta, 2010.<br>Title from PDF file main screen (viewed on May 7, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering and Intelligent Systems, Department of Electrical and Computer Engineering, University of Alberta. Includes bibliographical references.
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Jin, Weiqing. "Fuzzy classification based on fuzzy association rule mining." 2004. http://www.lib.ncsu.edu/theses/available/etd-12072004-130619/unrestricted/etd.pdf.

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Sara, Aghakhani. "Neuro-fuzzy architectures based on complex fuzzy logic." Master's thesis, 2010. http://hdl.handle.net/10048/891.

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Complex fuzzy logic is a new type of multi-valued logic, in which truth values are drawn from the unit disc of the complex plane; it is thus a generalization of the familiar infinite-valued fuzzy logic. At the present time, all published research on complex fuzzy logic is theoretical in nature, with no practical applications demonstrated. The utility of complex fuzzy logic is thus still very debatable. In this thesis, the performance of ANCFIS is evaluated. ANCFIS is the first machine learning architecture to fully implement the ideas of complex fuzzy logic, and was designed to solve the impor
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Lin, Yu-Cheng, and 林育正. "A fuzzy classifier on fuzzy partially-ordered sets." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/71353875118057599416.

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碩士<br>國立中正大學<br>資訊工程所<br>93<br>We approached learning in a unified manner by considering partly ordered sets and, in particular mathematical lattices, as the learning domain. Lattice theory has been employed practically in the past in various contexts including logic, discrete mathematics, and computer science. Lattice theory is also employed for rule learning. The work here maintains an established lattice theory terminology, produces new theoretical results, and gains new insights while demonstrating pilot experimental results. Recently, the semantic web is developing rapidly. The kernel of
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Chang, Tsu-Hao, and 張資昊. "Fuzzy Functional Dependency on Distributed Fuzzy Relational Databases." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/48695606219006732611.

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碩士<br>元智大學<br>資訊管理研究所<br>91<br>Fuzzy functional dependency is the basis of normalization and lossless decomposition. Furthermore, it can be used to derive the range of the missing value, detect the feature attribute value in data mining, and decide the contradictory fragment in the selection of materialized view. The data integration is the prerequisite for the issue of fuzzy functional dependency in distributed fuzzy databases. In the context of classical databases, the data integrations of databases have been studied well. However none of them consider the data integration of Fuzzy Relationa
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Liao, Wen-Du, and 廖文督. "Fuzzy Portfolio Analysis with FuzzyReturns and Fuzzy InvestmentProportion." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/53063367115813079879.

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碩士<br>淡江大學<br>管理科學研究所碩士班<br>99<br>In this paper, the fuzzy portfolio will be discussed due to uncertainty of proportion invested in each selected security in a portfolio. The paper will discuss how to solve the portfolio problem about investment proportion of each selected security based on possibilistic mean-standard deviation models. Then, the uncertain investment proportion of each chosen security in the portfolio will be regarded as a fuzzy number and also be formulated and proposed in this paper, showing how the portfolio selection problem will be solved. Finally, a numerical example of a
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Lee, Ta-Yang, and 李大仰. "Lossless Decomposition of Fuzzy Relations on Fuzzy Databases." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/56464025959715673191.

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碩士<br>元智大學<br>資訊管理研究所<br>92<br>Normalization of relations on relational databases can avoid the redundancies of data and update anomalies, and it emphasizes the lossless decomposition of relations. The outcome of decomposition depends on the definition of the redundancies of tuples. In Extended Possibility-Based fuzzy data model, if the resemblance between the tuples exceeds the threshold, we can say that they are redundant tuples, but the relation of the resemblance doesn’t have the transitivity, so that there is no way to divide the tuples into non overlapping groups, and to merge the tuples
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