Article citationsMore>>

H. Katagiri, E. B. Mermri, M. Sakawa, K. Kato and I. Nishizaki “A Possibilistic and Stochastic Programming Approach to Fuzzy Random MST Problems,” IEICE- Transactions on Information Systems, Vol. E88-D, No. 8, 2008, pp. 1912-1919.

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.