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)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
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.
Similar content being viewed by others
Keywords
Table of contents (28 chapters)
-
Front Matter
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