Monte Carlo Methods in Fuzzy Optimization is popular PDF and ePub book, written by James J. Buckley in 2008-02-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Monte Carlo Methods in Fuzzy Optimization can be Read Online from any device for your convenience.
Monte Carlo Methods in Fuzzy Optimization Book PDF Summary
Monte Carlo Methods in Fuzzy Optimization is a clear and didactic book about Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems. The book includes various solved problems such as fuzzy linear programming, fuzzy regression, fuzzy inventory control, fuzzy game theory, and fuzzy queuing theory. The book will appeal to engineers, researchers, and students in Fuzziness and applied mathematics.
Detail Book of Monte Carlo Methods in Fuzzy Optimization PDF
- Author : James J. Buckley
- Release : 20 February 2008
- Publisher : Springer Science & Business Media
- ISBN : 9783540762898
- Genre : Computers
- Total Page : 256 pages
- Language : English
- PDF File Size : 10,9 Mb
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