Monte Carlo methods in fuzzy optimization

Monte Carlo methods in fuzzy optimization

Buckley, J.J.
Jowers, L.J.

119,55 €(IVA inc.)

Clear and didactic book about Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems. Includes various solved problems such as fuzzy linear programming, fuzzy regression, fuzzy inventory control, fuzzy game theory, fuzzy queuing theory INDICE: From the contents Part I: Introduction.- 1 Introduction 3.- 2 Fuzzy Sets.- 3 Crisp Random Numbers and Vectors.- 4 Random Fuzzy Numbers and Vectors.- 5 Tests for Randomness.- Part II: Applications.- 6 Fuzzy Monte Carlo Method.- 7 Fully Fuzzied Linear Programming I.- 8 Fully Fuzzied Linear ProgrammingII.- 9 Fuzzy Multiobjective LP.- 10 Solving Fuzzy Equations.- 11 Fuzzy Linear Regression I.- 12 Univariate Fuzzy Nonlinear Regression.- 13 Multivariate Nonlinear Regression.- 14 Fuzzy Linear Regression II.- 15 Fuzzy Two-Person Zero-Sum Games.- 16 Fuzzy Queuing Models.- Part III: Unfinished Business.- 17 Fuzzy Min-Cost Capacitated Network.- 18 Fuzzy Shortest Path Problem.- 19 Fuzzy Max-Flow Problem.- 20 Inventory Control: Known Demand.- 21 Inventory Control: Fuzzy Demand.- 22 Inventory Control: Backordering.- 23 Fuzzy Transportation Problem.- 24 Fuzzy Integer Programming.- 25 Fuzzy Dynamic Programming.- 26 FuzzyProject Scheduling/PERT.- 27 Max/Min Fuzzy Function.

  • ISBN: 978-3-540-76289-8
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 285
  • Fecha Publicación: 01/01/2008
  • Nº Volúmenes: 1
  • Idioma: Inglés