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Titlebook: Complexity Management in Fuzzy Systems; A Rule Base Compress Alexander Gegov Book 2007 Springer-Verlag Berlin Heidelberg 2007 Complex fuzzy

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书目名称Complexity Management in Fuzzy Systems
副标题A Rule Base Compress
编辑Alexander Gegov
视频videohttp://file.papertrans.cn/232/231646/231646.mp4
概述Systematic study on complexity issues in fuzzy systems.Makes fuzzy rule based systems more enjoyable to work with
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Complexity Management in Fuzzy Systems; A Rule Base Compress Alexander Gegov Book 2007 Springer-Verlag Berlin Heidelberg 2007 Complex fuzzy
描述Doing research is a great adventure As any adventure sometimes it is hard You may feel alone and with no idea where to go But if you have courage and press onwards You will eventually stand where no one has stood And see the world as no one has seen it There can be no better feeling than this! Adaptation from ‘Introduction to Research’, Tom Addis (2004) The idea about this book has been on the author’s mind for almost a decade but it was only about a couple of years ago when the underlying research process was actually started. The reason for this delay has been the insufficient spare time for research being a lecturer in a ‘new’ UK university where the emphasis is mainly on teaching. And maybe this book would have never been written if the author had not been presented with the chance of developing new teaching modules in fuzzy logic that have given him food for thought in a research related context and have helped him combine efficiently his teaching and research activities. The title of this book may sound too specialised but it has a much wider meaning. Fuzzy systems are any systems for modelling, simulation, control, prediction, diagnosis, decision making, pattern recognition,
出版日期Book 2007
关键词Complex fuzzy systems; Computer-Aided Design (CAD); Fuzzy; Fuzzy rule aggregation; Fuzzy rule base compr
版次1
doihttps://doi.org/10.1007/978-3-540-38885-2
isbn_softcover978-3-642-07251-2
isbn_ebook978-3-540-38885-2Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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https://doi.org/10.1007/978-981-10-8312-9permutations of linguistic values of inputs and outputs are available as well as the type of mapping between the permutations of linguistic values of the inputs in the antecedent part of the rule base and the corresponding permutations of linguistic values of the outputs in the consequent part.
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Designing State Feedback Controller,y management in fuzzy systems. However, due to their basic nature, these techniques can be used only in SRB systems or very simple MRB systems. So, if we want to deal with complex MRB systems, we have to use more advanced formal manipulation techniques.
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