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
Clasificación:Libro Electrónico
Autores principales: Buckley, James J. (Autor), Jowers, Leonard J. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Fuzziness and Soft Computing, 222
Temas:
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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