Overview
- Provides practical examples of an intellectually challenging topic
- A fresh approach to our understanding of engineering applications
- Provides ideas and the basis for further research in a new field
Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering (ISCA, volume 29)
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About this book
Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for expanding our understanding of processes and information in science and engineering in our post-modern world is only just beginning to be appreciated.
Written as a companion text to the author’s earlier volume "An Introduction to Fuzzy Logic Applications", the book is aimed at professional engineers and students and those with an interest in exploring the potential of fuzzy logic as an information processing kit with a wide variety of practical applications in the field of engineering science and develops themes and topics introduced in the author’s earlier text.
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Table of contents (14 chapters)
Authors, Editors and Affiliations
Bibliographic Information
Book Title: Fuzzy Logic Applications in Engineering Science
Authors: J. Harris
Editors: S. G. Tzafestas, C. S. Chen, T. Fokuda, F. Harashima, G. Schmidt, N. K. Sinha, D. Tabak, … K. Valavanis
Series Title: Intelligent Systems, Control and Automation: Science and Engineering
DOI: https://doi.org/10.1007/1-4020-4078-4
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2006
Hardcover ISBN: 978-1-4020-4077-1Published: 18 October 2005
Softcover ISBN: 978-90-481-7034-0Published: 25 November 2010
eBook ISBN: 978-1-4020-4078-8Published: 17 January 2006
Series ISSN: 2213-8986
Series E-ISSN: 2213-8994
Edition Number: 2
Number of Pages: XVIII, 226
Topics: Computational Intelligence, Mathematical and Computational Engineering, Solid Mechanics, Mechanical Engineering, Industrial and Production Engineering, Quality Control, Reliability, Safety and Risk