9783319036731-3319036734-Advance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA (Studies in Fuzziness and Soft Computing, 312)

Advance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA (Studies in Fuzziness and Soft Computing, 312)

ISBN-13: 9783319036731
ISBN-10: 3319036734
Edition: 2014
Author: Janusz Kacprzyk, Vladik Kreinovich, Mo Jamshidi
Publication date: 2013
Publisher: Springer
Format: Hardcover 480 pages
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Book details

ISBN-13: 9783319036731
ISBN-10: 3319036734
Edition: 2014
Author: Janusz Kacprzyk, Vladik Kreinovich, Mo Jamshidi
Publication date: 2013
Publisher: Springer
Format: Hardcover 480 pages

Summary

Advance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA (Studies in Fuzziness and Soft Computing, 312) (ISBN-13: 9783319036731 and ISBN-10: 3319036734), written by authors Janusz Kacprzyk, Vladik Kreinovich, Mo Jamshidi, was published by Springer in 2013. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent Advance Trends in Soft Computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA (Studies in Fuzziness and Soft Computing, 312) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book is the proceedings of the 3rd World Conference on Soft Computing (WCSC), which was held in San Antonio, TX, USA, on December 16-18, 2013. It presents start-of-the-art theory and applications of soft computing together with an in-depth discussion of current and future challenges in the field, providing readers with a 360 degree view on soft computing. Topics range from fuzzy sets, to fuzzy logic, fuzzy mathematics, neuro-fuzzy systems, fuzzy control, decision making in fuzzy environments, image processing and many more. The book is dedicated to Lotfi A. Zadeh, a renowned specialist in signal analysis and control systems research who proposed the idea of fuzzy sets, in which an element may have a partial membership, in the early 1960s, followed by the idea of fuzzy logic, in which a statement can be true only to a certain degree, with degrees described by numbers in the interval [0,1]. The performance of fuzzy systems can often be improved with the help of optimization techniques, e.g. evolutionary computation, and by endowing the corresponding system with the ability to learn, e.g. by combining fuzzy systems with neural networks. The resulting “consortium” of fuzzy, evolutionary, and neural techniques is known as soft computing and is the main focus of this book.

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