Overview
- Provides an updated approach to fuzzy sets and systems that can model uncertainty
- Includes a new chapter on recent advances in type-1 and type-2 rule based fuzzy systems
- Features complete classroom material including end-of-chapter exercises, a solutions manual, and case studies
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the author
Jerry M. Mendel received the Ph.D. degree in Electrical Engineering from the Polytechnic Institute of Brooklyn, Brooklyn, NY. Currently, he is Emeritus Professor of Electrical Engineering at the University of Southern California in Los Angeles, where he worked for 44 years. He has published close to 600 technical papers and is author and/or co-author of 12 books, including Uncertain Rule-based Fuzzy Logic Systems: Introduction and New Directions (Prentice-Hall, 2001), Perceptual Computing: Aiding People in Making Subjective Judgments (Wiley & IEEE Press, 2010), Introduction to Type-2 Fuzzy Logic Control: Theory and Application (Wiley & IEEE Press, 2014) and Uncertain Rule-based Fuzzy Systems: Introduction and New Directions, 2nd ed. (Springer, 2017). He is a Life Fellow of the IEEE, a Distinguished Member of the IEEE Control Systems Society, and a Fellow of the International Fuzzy Systems Association and the Asia-Pacific AI Association. He was President of the IEEE Control Systems Society in 1986, a member of the Administrative Committee of the IEEE Computational Intelligence Society for nine years, and Chairman of its Fuzzy Systems Technical Committee and the Computing With Words Task Force of that TC. Among his awards are the 1983 Best Transactions Paper Award of the IEEE Geoscience and Remote Sensing Society, the 1992 Signal Processing Society Paper Award, the 2002 and 2014 Transactions on Fuzzy Systems Outstanding Paper Awards, a 1984 IEEE Centennial Medal, an IEEE Third Millenium Medal, a Fuzzy Systems Pioneer Award (2008) from the IEEE Computational Intelligence Society for fundamental theoretical contributions and seminal results in fuzzy systems, and the 2021 IEEE Lotfi A. Zadeh Pioneer Award for developing and promoting type-2 fuzzy logic. As of March 27, 2023, his publications have been cited (Google Scholar) more than 63,000 times, with an h-index of 100 and an i10-index of 320.
Bibliographic Information
Book Title: Explainable Uncertain Rule-Based Fuzzy Systems
Authors: Jerry M. Mendel
DOI: https://doi.org/10.1007/978-3-031-35378-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-35377-2Published: 02 February 2024
Softcover ISBN: 978-3-031-35380-2Due: 15 April 2024
eBook ISBN: 978-3-031-35378-9Published: 01 February 2024
Edition Number: 3
Number of Pages: XXIII, 580
Number of Illustrations: 26 b/w illustrations, 231 illustrations in colour
Topics: Computational Intelligence, Communications Engineering, Networks, Artificial Intelligence, Mathematical Models of Cognitive Processes and Neural Networks