Intelligent Systems, Control and Automation: Science and Engineering

Fuzzy Reasoning in Information, Decision and Control Systems

Editors: Tzafestas, S.G., Venetsanopoulos, Anastasios N. (Eds.)

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About this book

Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys­ tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa­ tion processing systems.

Table of contents (21 chapters)

Table of contents (21 chapters)

Buy this book

eBook $269.00
price for USA in USD
  • ISBN 978-0-585-34652-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts from 10 eBooks
Hardcover $499.99
price for USA in USD
Softcover $349.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Fuzzy Reasoning in Information, Decision and Control Systems
Editors
  • S.G. Tzafestas
  • Anastasios N. Venetsanopoulos
Series Title
Intelligent Systems, Control and Automation: Science and Engineering
Series Volume
11
Copyright
1994
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-0-585-34652-6
DOI
10.1007/978-0-585-34652-6
Hardcover ISBN
978-0-7923-2643-4
Softcover ISBN
978-94-017-4082-1
Series ISSN
2213-8986
Edition Number
1
Number of Pages
XX, 568
Topics