Editors:
- Comprehensive and timely report on fuzzy logic and its applications
- Analyzes the paradigm shift in uncertainty management upon the introduction of fuzzy logic
- Edited and written by top scientists in both theoretical and applied fuzzy logic
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 326)
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Table of contents (31 chapters)
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Front Matter
About this book
This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.
Editors and Affiliations
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Department of Computer Science, Texas State University, San Marcos, USA
Dan E. Tamir
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School of Computing and Information Sciences, Florida International University, Miami, USA
Naphtali D. Rishe
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School of Computing and Information Sciences, The University of South Florida, Tampa, Florida, USA, and Florida International University, Miami, USA
Abraham Kandel
Bibliographic Information
Book Title: Fifty Years of Fuzzy Logic and its Applications
Editors: Dan E. Tamir, Naphtali D. Rishe, Abraham Kandel
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-19683-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-19682-4Published: 09 June 2015
Softcover ISBN: 978-3-319-38241-8Published: 17 October 2016
eBook ISBN: 978-3-319-19683-1Published: 23 May 2015
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIII, 684
Number of Illustrations: 216 b/w illustrations, 22 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Control and Systems Theory, Artificial Intelligence