Monte Carlo Methods in Fuzzy Optimization

Released on by James J. Buckley
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  • Monte Carlo Methods in Fuzzy Optimization Book Detail

  • Author : James J. Buckley
  • Release Date : 2008-02-20
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 256
  • ISBN 13 : 3540762892
  • File Size : 38,38 MB
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Monte Carlo Methods in Fuzzy Optimization by James J. Buckley PDF Summary

Book Description: 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.

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Monte Carlo Methods in Fuzzy Optimization

Monte Carlo Methods in Fuzzy Optimization

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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 f