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Titlebook: Recent Advances in Interval Type-2 Fuzzy Systems; Oscar Castillo,Patricia Melin Book 2012 The Author(s) 2012 Bio-inspired Optimization Tec

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發(fā)表于 2025-3-21 16:40:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Recent Advances in Interval Type-2 Fuzzy Systems
編輯Oscar Castillo,Patricia Melin
視頻videohttp://file.papertrans.cn/823/822805/822805.mp4
概述Reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques.Reference for scientists and engineers interested in applyin
叢書(shū)名稱(chēng)SpringerBriefs in Applied Sciences and Technology
圖書(shū)封面Titlebook: Recent Advances in Interval Type-2 Fuzzy Systems; Oscar Castillo,Patricia Melin Book 2012 The Author(s) 2012 Bio-inspired Optimization Tec
描述This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hybrid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.
出版日期Book 2012
關(guān)鍵詞Bio-inspired Optimization Techniques; Computational Intelligence; Type-2 Fuzzy Logic
版次1
doihttps://doi.org/10.1007/978-3-642-28956-9
isbn_softcover978-3-642-28955-2
isbn_ebook978-3-642-28956-9Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s) 2012
The information of publication is updating

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Recent Advances in Interval Type-2 Fuzzy Systems978-3-642-28956-9Series ISSN 2191-530X Series E-ISSN 2191-5318
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發(fā)表于 2025-3-22 03:07:26 | 只看該作者
Type-2 Fuzzy Logic Systems,In this chapter, a brief overview of the basic concepts of type-2 fuzzy systems is presented. This overview is intended to provide the basic concepts needed to understand the methods and algorithms presented later in this book.
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Particle Swarm Optimization in the Design of Type-2 Fuzzy Systems,have had relative success according to the different areas of application. In this chapter, we offer a representative review of these types of works to illustrate the advantages of using the PSO optimization technique for automating the design process of type-2 fuzzy systems.
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General Overview of the Area and Future Trends,ed on the review of this area are presented. It has been well-known for a long time, that designing fuzzy systems is a difficult task, and this is especially true in the case of type-2 fuzzy systems. The use of GAs, ACO and PSO in designing type-1 fuzzy systems has become a standard practice for automatically designing this sort of systems.
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SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/r/image/822805.jpg
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