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Information Journal Paper

Title

Fuzzy Compromise Approach for Solving Interval-Valued Fractional Multi-Objective Multi-Product Solid Transportation Problems

Pages

  1-20

Abstract

 In this paper, a fractional multi-objective multiproduct solid transportation problem with interval costs, supply, demand, and conveyances is investigated based on Fuzzy Programming approach. To minimize the problem, the order relations that represent the decision maker's (DM) performance between interval costs, supply, demand and conveyances are defined by the right limit, and the left limit. Through the deterministic problem is obtained, a Fuzzy Programming approach is applied by defining membership functions. A linear Membership Function is being used for obtaining optimal compromise solution. Finally, a numerical example is given to the utility of the approach.

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    APA: Copy

    Abd El wahed Khalifa, Hamiden. (2019). Fuzzy Compromise Approach for Solving Interval-Valued Fractional Multi-Objective Multi-Product Solid Transportation Problems. JOURNAL OF SYSTEM MANAGEMENT, 5(2), 1-20. SID. https://sid.ir/paper/341114/en

    Vancouver: Copy

    Abd El wahed Khalifa Hamiden. Fuzzy Compromise Approach for Solving Interval-Valued Fractional Multi-Objective Multi-Product Solid Transportation Problems. JOURNAL OF SYSTEM MANAGEMENT[Internet]. 2019;5(2):1-20. Available from: https://sid.ir/paper/341114/en

    IEEE: Copy

    Hamiden Abd El wahed Khalifa, “Fuzzy Compromise Approach for Solving Interval-Valued Fractional Multi-Objective Multi-Product Solid Transportation Problems,” JOURNAL OF SYSTEM MANAGEMENT, vol. 5, no. 2, pp. 1–20, 2019, [Online]. Available: https://sid.ir/paper/341114/en

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