Overview
- Presents a concise introduction to fuzzy estimation, fuzzy probabilities, fuzzy systems theory and fuzzy computation
- Includes a wide selection of simulation applications showing the varieties of fuzzy systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 171)
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Table of contents (28 chapters)
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Front Matter
Keywords
About this book
Simulating Fuzzy Systems demonstrates how many systems naturally become fuzzy systems and shows how regular (crisp) simulation can be used to estimate the alpha-cuts of the fuzzy numbers used to analyze the behavior of the fuzzy system. This monograph presents a concise introduction to fuzzy sets, fuzzy logic, fuzzy estimation, fuzzy probabilities, fuzzy systems theory, and fuzzy computation. It also presents a wide selection of simulation applications ranging from emergency rooms to machine shops to project scheduling, showing the varieties of fuzzy systems.
Bibliographic Information
Book Title: Simulating Fuzzy Systems
Authors: James Buckley
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/b100371
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-24116-4Published: 01 February 2005
Softcover ISBN: 978-3-642-42534-9Published: 25 November 2014
eBook ISBN: 978-3-540-32375-4Published: 17 March 2005
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XII, 208
Topics: Theory of Computation, Mathematical and Computational Engineering, Artificial Intelligence, Applications of Mathematics, Computational Intelligence