TITLE:
On Fuzzy Random-Valued Optimization
AUTHORS:
Monga K. Luhandjula
KEYWORDS:
Fuzzy random variables, random sets, fuzzy stochastic Optimization under.
JOURNAL NAME:
American Journal of Operations Research,
Vol.1 No.4,
December
5,
2011
ABSTRACT: In this paper, we propose a novel approach for Fuzzy random-valued Optimization. The main idea behind our approach consists of taking advantage of interplays between fuzzy random variables and random sets in a way to get an equivalent stochastic program. This helps avoiding pitfalls due to severe oversimplification of the reality. We consider a numerical example that shows the efficiency of the proposed method.