Monte Carlo Methods in Fuzzy Optimization

This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization problems. Various basic applications and illustrative examples are presented in an understandable way. The aim of the book is to convince the reader that Monte Carlo metho...

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Detalles Bibliográficos
Auteurs principaux: Buckley, James J., 1936-, Jowers, Leonard J., 19..- (Auteur), Jowers, Leonard J. (Auteur)
Formato: Livre numérique
Idioma:Anglais
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edición:1st ed. 2008.
Series:Studies in Fuzziness and Soft Computing 222
Acceso en liña:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Monte Carlo Methods in Fuzzy Optimization, Texte imprimé, 9783540762898
• Monte Carlo Methods in Fuzzy Optimization, Texte imprimé, 9783642095160
• Monte Carlo Methods in Fuzzy Optimization, Texte imprimé, 9783540845485
Table des matières:
  • Fuzzy Sets Crisp Random Numbers and Vectors Random Fuzzy Numbers and Vectors Tests for Randomness Applications Fuzzy Monte Carlo Method Fully Fuzzified Linear Programming I Fully Fuzzified Linear Programming II Fuzzy Multiobjective LP Solving Fuzzy Equations Fuzzy Linear Regression I Univariate Fuzzy Nonlinear Regression Multivariate Nonlinear Regression Fuzzy Linear Regression II Fuzzy Two-Person Zero-Sum Games Fuzzy Queuing Models Unfinished Business Fuzzy Min-Cost Capacitated Network Fuzzy Shortest Path Problem Fuzzy Max-Flow Problem Inventory Control: Known Demand Inventory Control: Fuzzy Demand Inventory Control: Backordering Fuzzy Transportation Problem Fuzzy Integer Programming Fuzzy Dynamic Programming Fuzzy Project Scheduling/PERT Max/Min Fuzzy Function Summary, Conclusions, Future Research Summary, Conclusions, Future Research