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Z. Zmeskel, “Value at Risk Methodology under Soft Conditions Approach (Fuzzy-Stochastic Approach),” European Journal of Operational Research, Vol. 161, No. 2, 2005, pp. 337-347. doi:10.1016/j.ejor.2003.08.048

has been cited by the following article:

• 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.