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Bi-level Optimization in an Imprecise and Random Environment

Bi-level Optimization in an Imprecise and Random Environment

          
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About the Book

In classical bi-level programming problems, coefficients of objective functions of the leader and the follower are crisp. But in real-life situations, uncertainties arise in almost every aspect. Thus, to include more realistic cases in classical bi-level programming problems, a fuzzy stochastic bi-level programming model has been developed using fuzzy random variable coefficients. A fuzzy random variable is a mathematical tool to deal with a sort of hybrid uncertainty. The novelty of the fuzzy random variable is that it contains the structure of twofold distribution which can carry a joint oneness of the simultaneous random and imprecise information which goes beyond the contrast of information contained in a random variable in probability theory and fuzzy variable in fuzzy set theory. Though the book deals to solve bi-level optimization models in the fuzzy or fuzzy random environment through a multi-stage decision-making approach. The main contribution of this book is twofold. It introduced the fuzzy stochastic and fuzzy rule-base bi-level optimization model to overcome the uncertainties present due to impreciseness and randomness.


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Product Details
  • ISBN-13: 9786203307481
  • Publisher: KS Omniscriptum Publishing
  • Publisher Imprint: LAP Lambert Academic Publishing
  • Height: 229 mm
  • No of Pages: 84
  • Spine Width: 5 mm
  • Width: 152 mm
  • ISBN-10: 6203307483
  • Publisher Date: 02 Feb 2021
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 136 gr


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