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Information Journal Paper

Title

An Integrated MC-HFLTS & MAIRCA Method and Application in Cargo Distribution Companies

Author(s)

  Adar Tuba | Kilic Delice Elif

Pages

  276-281

Abstract

 Cargo transportation is part of the Logistic sectors. Both service quality and customer satisfaction are very important for companies which provide cargo transportation services. This study aims to evaluate cargo companies via DMs (customers) preferences in Erzurum, Turkey. Evaluating cargo companies is the multi-criteria decision making (MCDM) problem and DMs often use uncertain linguistic terms to express their assessments because DMs hesitate among different linguistic terms to provide their preferences. In this study, an integrated MC-HFLTS&MAIRCA (Multi-criteria Hesitant Fuzzy Linguistic Term Set and Multi Attribute Ideal-Real Comparative Analysis) method is used for evaluating and selecting the best cargo company. From this point of view, alternatives, criteria and DMs are defined and the integrated method is applied for the selection of the best cargo company. In order to test the results, MABAC, TOPSIS and VIKOR methods were used.

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    APA: Copy

    Adar, Tuba, & Kilic Delice, Elif. (2019). An Integrated MC-HFLTS & MAIRCA Method and Application in Cargo Distribution Companies. INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT, 6(3), 276-281. SID. https://sid.ir/paper/665506/en

    Vancouver: Copy

    Adar Tuba, Kilic Delice Elif. An Integrated MC-HFLTS & MAIRCA Method and Application in Cargo Distribution Companies. INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT[Internet]. 2019;6(3):276-281. Available from: https://sid.ir/paper/665506/en

    IEEE: Copy

    Tuba Adar, and Elif Kilic Delice, “An Integrated MC-HFLTS & MAIRCA Method and Application in Cargo Distribution Companies,” INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT, vol. 6, no. 3, pp. 276–281, 2019, [Online]. Available: https://sid.ir/paper/665506/en

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