Fuzzy numbering linear programming: a probabilistic approach (3)

  • Authors:

  • H. R. Maleki;M. Mashinchi

  • Affiliations:

  • Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, Kerman, Iran;Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, Kerman, Iran

  • Venue:
  • The Korean Journal of Computational & Applied Mathematics
  • Year:
  • 2004

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Abstract

In the real world there are many linear programming problems where all decision parameters are fuzzy numbers. Several approaches exist which use different ranking functions for solving these problems. Unfortunately when there exist alternative optimal solutions, usually with different fuzzy value of the objective function for these solutions, these methods can not specify a clear approach for choosing a solution. In this paper we propose a method to remove the above shortcoming in solving fuzzy number linear programming problems using the concept of expectation and variance as ranking functions