A new interactive approach for solving fully fuzzy mixed integer linear programming problems

  • F. Khalili Department of Mathematics, Shiraz university of technology, Shiraz, Iran
  • Seyed H. Naseri Department of Mathematics, University of Mazandaran, Babolsar, Iran
  • Nemat Allah Taghi-Nezhad Department of Mathematics, Faculty of basic science, Gonbad Kavous University, Gonbad, Iran

Abstract

Modeling and solving optimization problems is one of the most important issues in today environments. Fuzzy approach is used to overcome the vagueness,
imprecision and uncertainty in real life situations. In this paper, we present a novel method to solve Fully Fuzzy Mixed Integer Linear Programming (FFMILP) problems. This method is based on the definition of membership function and using fuzzy interactive technique for solving the classical multi-objective programming. To illustrate the steps of the proposed method, numerical examples are solved and the answers are compared with other methods in the literature. Computational results present the application of the method.

Published
2019-10-02
How to Cite
KHALILI, F.; NASERI, Seyed H.; TAGHI-NEZHAD, Nemat Allah. A new interactive approach for solving fully fuzzy mixed integer linear programming problems. Yugoslav Journal of Operations Research, [S.l.], v. 30, n. 1, p. 71-89, oct. 2019. ISSN 2334-6043. Available at: <https://yujor.fon.bg.ac.rs/index.php/yujor/article/view/692>. Date accessed: 22 nov. 2024.
Citation Formats
Issue
Vol 30 No 1 (2020)
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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