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Article type: Research Article
Authors: Borza, Mojtaba | Rambely, Azmin Sham; *
Affiliations: Department of Mathematical Sciences, Faculty of Science & Technology, UKM Bangi, Bangi Selangor, Malaysia
Correspondence: [*] Corresponding author. Azmin Sham Rambely, Department of Mathematical Sciences, Faculty of Science & Technology, UKM Bangi, 43600 Bangi Selangor, Malaysia. E-mail: [email protected].
Abstract: In the multi-objective programming problem (MOPP), finding an efficient solution is challenging and partially encompasses some difficulties in practice. This paper presents an approach to address the multi-objective linear fractional programing problem with fuzzy coefficients (FMOLFPP). In the method, at first, the concept of α - cuts is used to change the fuzzy numbers into intervals. Therefore, the fuzzy problem is further changed into an interval-valued linear fractional programming problem (IVLFPP). Afterward, this problem is transformed into a linear programming problem (LPP) using a parametric approach and the weighted sum method. It is proven that the solution resulted from the LPP is at least a weakly ɛ - efficient solution. Two examples are given to illustrate the method.
Keywords: Efficient solution, fuzzy numbers, fuzzy programming, interval arithmetic, weighted sum approach
DOI: 10.3233/JIFS-212105
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 6, pp. 5639-5652, 2022
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