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Programming Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications (Studies in Fuzziness and Soft Computing)

Posted on 2010-03-16




Name:Programming Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications (Studies in Fuzziness and Soft Computing)
ASIN/ISBN:3540899235
Language:English
File size:8.8 Mb
Publish Date: 2009-04-14
ISBN: 3540899235
Pages: 400 pages
File Type: PDF
File Size: 8,8 MB
Other Info: Springer
   Programming Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications (Studies in Fuzziness and Soft Computing)



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Asli Celikyilmaz, I. Burhan Türksen "Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications (Studies in Fuzziness and Soft Computing)"

The objective of this book is to present an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". Since most researchers on fuzzy systems are more familiar with the standard fuzzy rule bases and their inference system structures, many standard tools of fuzzy system modeling approaches are reviewed to demonstrate the novelty of the structurally different fuzzy functions, before we introduced the new methodologies. To make the discussions more accessible, no special fuzzy logic and system modeling knowledge is assumed. Therefore, the book itself may be a reference for some related methodologies to most researchers on fuzzy systems analyses. For those readers, who have knowledge of essential fuzzy theories, Chapter 1, 2 should be treated as a review material. Advanced readers ought to be able to read chapters 3, 4 and 5 directly, where proposed methods are presented. Chapter 6 demonstrates experiments conducted on various datasets.

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