A direct solution approach to fuzzy mathematical programs with fuzzy decision variables

BAYKASOĞLU A., Gocken T.

EXPERT SYSTEMS WITH APPLICATIONS, vol.39, no.2, pp.1972-1978, 2012 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 39 Issue: 2
  • Publication Date: 2012
  • Doi Number: 10.1016/j.eswa.2011.08.047
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1972-1978
  • Keywords: Fuzzy mathematical programming, Fuzzy decision variables, Meta-heuristics, Particle swarm optimization, RANKING, OPTIMIZATION
  • Dokuz Eylül University Affiliated: Yes

Abstract

In this paper, a direct solution approach is presented for solving fuzzy mathematical programming problems with fuzzy decision variables. In the proposed approach, a fuzzy ranking procedure for fuzzy numbers and a meta-heuristic algorithm is employed. A basic example is presented in the paper. It has been observed that fuzzy mathematical programs with fuzzy decision variables can be solved effectively by employing direct solution approaches which are based on fuzzy ranking procedures and meta-heuristics. (C) 2011 Elsevier Ltd. All rights reserved.