Fuzzy Stochastic Optimization Theory, Models and Applications

Fuzzy Stochastic Optimization Theory, Models and Applications / by Shuming Wang, Junzo Watada.

Covering in detail both theoretical and practical perspectives, this book is a self-contained and systematic depiction of current fuzzy stochastic optimization that deploys the fuzzy random variable as a core mathematical tool to model the integrated fuzzy random uncertainty. It proceeds in an order...

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Bibliographic Details
Main Authors: Wang, Shuming (Author), Watada, Junzo (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Springer eBook Collection.
Subjects:
Computational intelligence.
Mathematical optimization.
Statistics .
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Part I: Theory
  • Fuzzy Random Variable
  • Fuzzy Stochastic Renewal Processes
  • Part II: Models
  • System Reliability Optimization Models with Fuzzy Random Lifetimes
  • Recourse-Based Fuzzy Random Facility Location Model with Fixed Capacity
  • Two-Stage Fuzzy Stochastic Programming with Value-at-Risk: A Generic Model
  • VaR-Based Fuzzy Random Facility Location Model with Variable Capacity
  • Part III: Real-Life Applications.

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