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Article type: Research Article
Authors: Bhatia, Tanveen Kaura | Kumar, Amita | Sharma, M.K.a | Appadoo, S.S.b; *
Affiliations: [a] School of Mathematics, Thapar Institute of Engineering & Technology (Deemed to be University), Patiala, Punjab, India | [b] Department of Supply Chain Management, University of Manitoba, Winnipeg, Manitoba, Canada
Correspondence: [*] Corresponding author. S.S. Appadoo, Department of Supply Chain Management, University of Manitoba, 630 Drake Centre - 181 Freedman Crescent, Winnipeg, Manitoba, Canada R3T 5V4. E-mail: SS.Appadoo@umanitoba.ca.
Abstract: To the best of author’s knowledge, only one approach is proposed in the literature to solve fuzzy linear fractional minimal cost flow problems (minimal cost flow problems in which each known arc cost is represented either by a triangular fuzzy number or a trapezoidal fuzzy number). In this paper, the mathematical incorrect assumptions, considered in the existing approach to solve fuzzy linear fractional minimal cost flow problems, are pointed out. Also, by generalizing an existing approach for solving fuzzy linear fractional programming problems, an approach (named as Mehar approach) is proposed to solve fuzzy linear fractional minimal cost flow problems. Furthermore, two numerical examples are solved to illustrate the proposed Mehar approach.
Keywords: Linear fractional minimal cost flow problem, triangular fuzzy numbers, trapezoidal fuzzy numbers, lexicographic approach
DOI: 10.3233/JIFS-212909
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 1, pp. 1035-1051, 2022
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