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Function approximation with higher-order fuzzy systems /Cheung, Ho Yin. January 2006 (has links)
Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 62). Also available in electronic version.
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On-line learning for robotic assembly using artificial neural networks and contact force sensingLopez-Juarez, Ismael January 2000 (has links)
No description available.
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An ab initio fuzzy dynamical system theory controllability and observability /Terdpravat, Attapong. January 2004 (has links) (PDF)
Thesis (M.S.)--Mechanical Engineering, Georgia Institute of Technology, 2005. / Esogbue, Augustine, Committee Member ; Lee, Kok-Meng, Committee Member ; Ye-Hwa Chen, Committee Chair. Includes bibliographical references.
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Fuzzy decision tree classification for high-resolution satellite imagery /Pavuluri, Manoj Kumar. January 2003 (has links)
Thesis (M.S.)--University of Missouri-Columbia, 2003. / Typescript. Includes bibliographical references (leaves 70-74). Also available on the Internet.
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Fuzzy decision tree classification for high-resolution satellite imageryPavuluri, Manoj Kumar. January 2003 (has links)
Thesis (M.S.)--University of Missouri-Columbia, 2003. / Typescript. Includes bibliographical references (leaves 70-74). Also available on the Internet.
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A fuzzy knowledge map framework for knowledge representation /Khor, Sebastian W. January 2006 (has links)
Thesis (Ph.D.)--Murdoch University, 2006. / Thesis submitted to the Division of Arts. Includes bibliographical references.
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Application of artificial intelligence in gas turbine control and modelling.Daher, Roni. January 1900 (has links)
Thesis (M.App.Sc.) - Carleton University, 2005. / Includes bibliographical references (p. 110-115). Also available in electronic format on the Internet.
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A toolkit for uncertainty reasoning and representation using fuzzy set theory in PROLOG expert systems /Bicker, Marcelle M. January 1987 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 1987. / Typescript. Includes bibliographical references (leaves viii-xi).
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Desenvolvimento de uma metodologia, com base na teoria Fuzzy, aplicada a modelos da demanda bioquÃmica de oxigÃnio (DBO) e oxigÃnio dissolvido (OD), para calcular o risco de degradaÃÃo ambiental em rios naturais / Development of a methodology, on the basis of the Fuzzy theory, applied the models of the demand oxygen biochemist (DBO) and dissolved oxygen (OD), to calculate the risk of ambient degradation in natural riversAda Amelia Sanders Lopes 23 October 2009 (has links)
CoordenaÃÃo de AperfeiÃoamento de NÃvel Superior / Com base nos PrincÃpios de Transporte de Massa, o modelo matemÃtico desenvolvido neste estudo estabelece as relaÃÃes entre a Demanda BioquÃmica do OxigÃnio (DBO) e o OxigÃnio Dissolvido (OD), para diferentes fontes de lanÃamentos. A aplicaÃÃo da teoria fuzzy neste modelo de transporte de poluente permite que as incertezas existentes nas variÃveis envolvidas nestes processos, especificamente na soluÃÃo da equaÃÃo da difusÃo advectiva, sejam capazes de avaliar os riscos de contaminaÃÃo de um sistema hÃdrico diante dos lanÃamentos de substÃncias poluentes. A metodologia fuzzy foi desenvolvida com o objetivo de transformar o modelo matemÃtico de DBO/OD em um conjunto de equaÃÃes diferenciais fuzzy, onde os principais parÃmetros, contidos neste modelo, foram representados como funÃÃes de pertinÃncia. Um programa computacional foi desenvolvido para este estudo codificado em linguagem FORTRAN 90, que permite construir modelos de simulaÃÃes para qualidade da Ãgua, com base na metodologia proposta. Foram propostos alguns cenÃrios distintos que descrevem as alteraÃÃes na qualidade da Ãgua em rios naturais, com base na investigaÃÃo dos parÃmetros hidrÃulicos, nas formaÃÃes das funÃÃes de pertinÃncia da concentraÃÃo e na propagaÃÃo de uma nuvem poluente. Os resultados apresentam as anÃlises do risco de degradaÃÃo ambiental, e da garantia, que sÃo influenciadas pelos parÃmetros hidrÃulicos e hidrolÃgicos, ressaltando as vazÃes para qualquer tipo de lanÃamento, a declividade e rugosidade. Em sÃntese, a metodologia fuzzy mostrou-se uma ferramenta para o planejamento e para gestÃo dos recursos hÃdricos, e um procedimento alternativo quando aplicado aos processos de transporte de poluente / On the basis of the Principles of the Mass Transport, the mathematical model developed in this study establishes the relations between the Biochemical Oxygen Demand (BOD) and Dissolved Oxygen (DO), for different sources of launchings. The application of the fuzzy theory in this model of pollutant transport allows that the existing uncertainties in the variable involved in these processes, specifically in the solution of the advective diffusion equation, is able to evaluate the risks of contamination of a water system ahead of the pollutant substance launching. The fuzzy methodology was developed with the objective to transform the mathematical model of DBO/OD into a set of fuzzy differential equations, where the main parameters in this model had been represented as Membership functions. A computational program was developed for this study, codified in language FORTRAN 90, that allows us to construct models of simulation of water quality, on the basis of the methodology proposed. Some distinct scenes had been considered that describe the alterations in the quality of the water in natural rivers, on the basis of the investigation of the hydraulics parameters, in the formations of the membership functions of the concentration and in the propagation of a pollutant cloud. The results present the analyses of the risk of environmental degradation, and the analyses of the guarantee, that are influenced by the hydraulics and hydrologics parameters, standing out the outflows for any type of launching, the bed slope and the roughness. In synthesis, the fuzzy methodology is a tool of planning and management of water resources and, an alternative procedure when applied to the processes of pollutant transport
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Isotone fuzzy Galois connections and their applications in formal concept analysisKonecny, Jan. January 2009 (has links)
Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009. / Includes bibliographical references.
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