A two-phase approach for multi-objective programming problems with fuzzy coefficients

Arikan F., Guengoer Z.

INFORMATION SCIENCES, vol.177, no.23, pp.5191-5202, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 177 Issue: 23
  • Publication Date: 2007
  • Doi Number: 10.1016/j.ins.2007.06.023
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.5191-5202
  • Keywords: multiple objective programming, fuzzy sets, fuzzy parameters, fuzzy programming, OPTIMIZATION
  • Gazi University Affiliated: Yes


In this study, a two-phase procedure is introduced to solve multi-objective fuzzy linear programming problems. The procedure provides a practical solution approach, which is an integration of fuzzy parametric programming (FPP) and fuzzy linear programming (FLP), for solving real life multiple objective programming problems with all fuzzy coefficients. The interactive concept of the procedure is performed to reach simultaneous optimal solutions for all objective functions for different grades of precision according to the preferences of the decision-maker (DM). The procedure can be also performed to obtain lexicographic optimal and/or additive solutions if it is needed. In the first phase of the procedure, a family of vector optimization models is constructed by using FPP. Then in the second phase, each model is solved by FLP. The solutions are optimal and each one is an alternative decision plan for the DM. (C) 2007 Elsevier Inc. All rights reserved.