Authors:
- Introduces the formation of type-2 fuzzy functions to capture uncertainties associated with system behaviour
- Presents an uncertainty modeling approach using a new type of fuzzy system model via “Fuzzy Functions”
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 240)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
Authors and Affiliations
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BISC - The Berkeley Initiative in Soft Computing Electrical Eng. and Computer Sciences Department, University of California, Berkeley, Berkeley, USA
Asli Celikyilmaz
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Mechanical & Industrial Engineering, University of Toronto , Toronto, Canada
I. Burhan Türksen
Bibliographic Information
Book Title: Modeling Uncertainty with Fuzzy Logic
Book Subtitle: With Recent Theory and Applications
Authors: Asli Celikyilmaz, I. Burhan Türksen
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-89924-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-89923-5Published: 08 April 2009
Softcover ISBN: 978-3-642-10063-5Published: 21 October 2010
eBook ISBN: 978-3-540-89924-2Published: 01 April 2009
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XLVIII, 400
Topics: Computer-Aided Engineering (CAD, CAE) and Design, Mathematical and Computational Engineering, Artificial Intelligence