On Fuzzy Random-Valued Optimization

DOI: 10.4236/ajor.2011.14030   PDF   HTML     3,935 Downloads   7,553 Views   Citations


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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.


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