Monte Carlo Methods in Fuzzy Optimization
| Author | : James J. Buckley |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 256 |
| Release | : 2008-02-20 |
| ISBN-13 | : 9783540762898 |
| ISBN-10 | : 3540762892 |
| Rating | : 4/5 (92 Downloads) |
Book Synopsis Monte Carlo Methods in Fuzzy Optimization by : James J. Buckley
Download or read book Monte Carlo Methods in Fuzzy Optimization written by James J. Buckley and published by Springer Science & Business Media. This book was released on 2008-02-20 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
