Overview
- Presents both basic concepts and a number of mathematical models for fuzzy logic
- Includes an introduction on fuzzy control
- Intended as introductory book on fuzzy logic for engineers and engineering students
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 320)
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Table of contents (8 chapters)
Keywords
About this book
Reviews
“It provides a nice and quick introduction to all these concepts in a very easy and understandable way. … the book is totally adequate for a basic introductory course on fuzzy logic (especially for engineering students), but also has the advantage of being ideal as a self-learning book for those who may be tangentially interested in the field.” (Joan Torrens, Mathematical Reviews, July, 2018)
“The book is slim: it compresses all the key concepts of fuzzy logic in about 200 pages. … the book would be well suited for introductory courses in other disciplines including computer science. … the approach taken by the authors to explain fuzzy logic makes me strongly recommend it for basic undergraduate and graduate courses on fuzzy logic or soft computing.” (Corrado Mencar, Computing Reviews, November, 2015)
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy Logic
Book Subtitle: An Introductory Course for Engineering Students
Authors: Enric Trillas, Luka Eciolaza
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-14203-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-14202-9Published: 23 January 2015
Softcover ISBN: 978-3-319-38643-0Published: 06 October 2016
eBook ISBN: 978-3-319-14203-6Published: 12 January 2015
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XI, 204
Number of Illustrations: 100 b/w illustrations, 3 illustrations in colour
Topics: Computational Intelligence, Symbolic and Algebraic Manipulation, Control and Systems Theory