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Titlebook: Integration of Fuzzy Logic and Chaos Theory; Zhong Li,Wolfgang A. Halang,Guanrong Chen Book 2006 Springer-Verlag Berlin Heidelberg 2006 al

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书目名称Integration of Fuzzy Logic and Chaos Theory
编辑Zhong Li,Wolfgang A. Halang,Guanrong Chen
视频video
概述Collection of recent results on Fuzzy logic and Chaos theory
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Integration of Fuzzy Logic and Chaos Theory;  Zhong Li,Wolfgang A. Halang,Guanrong Chen Book 2006 Springer-Verlag Berlin Heidelberg 2006 al
描述The 1960s were perhaps a decade of confusion, when scientists faced d- culties in dealing with imprecise information and complex dynamics. A new set theory and then an in?nite-valued logic of Lot? A. Zadeh were so c- fusing that they were called fuzzy set theory and fuzzy logic; a deterministic system found by E. N. Lorenz to have random behaviours was so unusual that it was lately named a chaotic system. Just like irrational and imaginary numbers, negative energy, anti-matter, etc., fuzzy logic and chaos were gr- ually and eventually accepted by many, if not all, scientists and engineers as fundamental concepts, theories, as well as technologies. In particular, fuzzy systems technology has achieved its maturity with widespread applications in many industrial, commercial, and technical ?elds, ranging from control, automation, and arti?cial intelligence to image/signal processing,patternrecognition,andelectroniccommerce.Chaos,ontheother hand,wasconsideredoneofthethreemonumentaldiscoveriesofthetwentieth century together with the theory of relativity and quantum mechanics. As a very special nonlinear dynamical phenomenon, chaos has reached its current outstanding status from being mer
出版日期Book 2006
关键词algorithms; chaos; chaos theory; control; fuzzy; fuzzy control; fuzzy logic; fuzzy system; genetic algorithm
版次1
doihttps://doi.org/10.1007/3-540-32502-6
isbn_softcover978-3-642-06594-1
isbn_ebook978-3-540-32502-4Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2006
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Complex Fuzzy Systems and Their Collective Behavior,tterns. To investigate the effects due to the network architecture on the synchronization characteristics, complex fuzzy systems have been reproduced using fuzzy chaotic cells connected through different topologies: regular, “small worlds,” and random.
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Chaotic Behavior in Recurrent Takagi-Sugeno Models,st-order Takagi—Sugeno models with chaotic orbits. We also consider the case of an arbitrary number of rules in such models and high-order time delay case. This chapter is the first from a series of papers where we will consider arbitrary types of consequent functions, noncomplete or contradictory rule bases, vectors in the rule antecedents,
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