Monte Carlo Methods in Fuzzy Optimization

Häftad, Engelska, 2010

AvJames J. Buckley,Leonard J. Jowers

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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

Produktinformation

Utgivningsdatum2010-11-22
Mått155 x 235 x 16 mm
Vikt423 g
FormatHäftad
SpråkEngelska
SerieStudies in Fuzziness and Soft Computing
Antal sidor260
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642095160

Tillhör följande kategorier

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.

From the reviews: "This timely research monograph is a very much needed compendium of recent developments in the methodologies and applications of Monte Carlo fuzzy optimization and fuzzy modeling. ... Overall the writing is lucid and well supported by convincing and highly motivating comments. ... All in all, this is a highly welcome publication which will undoubtedly appeal to the fuzzy set research community." (Witold Pedrycz, Zentralblatt MATH, Vol. 1148, 2008)