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Monte Carlo Methods in Fuzzy Optimization
Contributor(s): Buckley, James J. (Author), Jowers, Leonard J. (Author)

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 ISBN: 364209516X     ISBN-13: 9783642095160
Publisher: Springer
OUR PRICE: $104.49  

Binding Type: Paperback - See All Available Formats & Editions
Published: November 2010
Qty:

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Additional Information
BISAC Categories:
- Mathematics | Applied
- Computers | Intelligence (ai) & Semantics
- Technology & Engineering | Engineering (general)
Dewey: 006.301
Series: Studies in Fuzziness and Soft Computing
Physical Information: 0.58" H x 6.14" W x 9.21" L (0.86 lbs) 260 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
1. 1 Introduction The objective of this book is to introduce Monte Carlo methods to ?nd good approximate solutions to fuzzy optimization problems. Many crisp (nonfuzzy) optimization problems have algorithms to determine solutions. This is not true for fuzzy optimization. There are other things to discuss in fuzzy optimization, which we will do later onin the book, like? and
 
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