Author(s)

Monga K. Luhandjula

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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.

Fuzzy random variables, random sets, fuzzy stochastic Optimization under.

M. Luhandjula, "On Fuzzy Random-Valued Optimization," American Journal of Operations Research, Vol. 1 No. 4, 2011, pp. 259-267. doi: 10.4236/ajor.2011.14030.