| 书目名称 | Fuzzy Chaotic Systems | | 副标题 | Modeling, Control, a | | 编辑 | Zhong Li | | 视频video | | | 概述 | Overviews the theory, methodologies and applications of the fascinating field of Fuzzy systems and Chaos.Generates a great potential to attract more attention to combine fuzzy systems with.Chaos theor | | 丛书名称 | Studies in Fuzziness and Soft Computing | | 图书封面 |  | | 描述 | Bringing together the two seemingly unrelated concepts,fuzzy logic andchaos theory,isprimarilymotivatedbytheconceptofsoft computing (SC),initiated by Lot? A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming parts of belief networks, genetic algorithms, chaos theory and learning theory. What is important to note is that SC is not a melange of FL, NN and PR. Rather, it is an integration in which each of the partners contributes a distinct methodology for addressing problems in their common domain. In this perspective, the principal cont- butions of FL, NN and PR are complementary rather than competitive. SC di?ers from conventional (hard) computing in that it is tolerant of imprecision, uncertainty and partial truth. In e?ect, the role model for soft computing is the human mind. From the general SC concept, we extract FL and chaos theory as the object of this book to study their relationships or interactions. Over the past few decades, fuzzy systems technology and chaos theory have received ever increasing research interests from, respectively, systems | | 出版日期 | Book 2006 | | 关键词 | Chaos; chaos theory; fuzzy; fuzzy control; fuzzy logic; fuzzy set; fuzzy system; fuzzy systems; logic; model; | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-33221-9 | | isbn_softcover | 978-3-642-06979-6 | | isbn_ebook | 978-3-540-33221-3Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | Springer-Verlag Berlin Heidelberg 2006 |
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发表于 2025-3-21 18:33:20
