Editors:
- Describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in diverse areas
- Addresses areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems
- Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017) held from 16 to 18 October 2017 in Cancun, Mexico
- Highlights recent research on Fuzzy Logic in Intelligent System Design
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 648)
Conference series link(s): NAFIPS: North American Fuzzy Information Processing Society Annual Conference
Conference proceedings info: NAFIPS 2017.
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Table of contents (45 papers)
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Front Matter
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Theoretical Aspects of Fuzzy Logic
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Front Matter
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Type-2 Fuzzy Logic
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Front Matter
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Fuzzy Logic in Metaheuristics
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Front Matter
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Emergent Intelligent Models
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Front Matter
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About this book
Editors and Affiliations
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Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico
Patricia Melin, Oscar Castillo
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Janusz Kacprzyk
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Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
Marek Reformat
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Laboratory of Computational Intelligence and Automation, University of Waterloo, Waterloo, Canada
William Melek
Bibliographic Information
Book Title: Fuzzy Logic in Intelligent System Design
Book Subtitle: Theory and Applications
Editors: Patricia Melin, Oscar Castillo, Janusz Kacprzyk, Marek Reformat, William Melek
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-67137-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-67136-9Published: 30 September 2017
eBook ISBN: 978-3-319-67137-6Published: 30 September 2017
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XI, 422
Number of Illustrations: 140 b/w illustrations