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Extension of VIKOR method based on interval-valued fuzzy sets

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Abstract

Decision making is the process of finding the best option among the feasible alternatives. In classical multiple-criteria decision-making (MCDM) methods, the ratings and the weights of the criteria are known precisely. However, if decision makers cannot reach an agreement on the method of defining linguistic variables based on the fuzzy sets, the interval-valued fuzzy set theory can provide a more accurate modeling. In this paper, the interval-valued fuzzy VIKOR method is presented, aiming at solving MCDM problems in which the weights of criteria are unequal, using interval-valued fuzzy set concepts. For application and verification, this study presents a numerical example and builds a practical maintenance strategy selection problem to verify our proposed method. Moreover, a comparison is made between the interval-valued fuzzy VIKOR and other adapted MCDM interval-valued fuzzy number-based.

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Authors and Affiliations

  1. Department of Industrial and Mechanical Engineering, Islamic Azad University Qazvin branch, Qazvin, Iran

    Behnam Vahdani & Hasan Hadipour

  2. Department of Industrial Management, Management and Accounting Faculty, Allameh Tabatabaei University, Tehran, Iran

    Jamshid Salehi Sadaghiani & Maghsoud Amiri

Authors
  1. Behnam Vahdani
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  2. Hasan Hadipour
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  3. Jamshid Salehi Sadaghiani
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  4. Maghsoud Amiri
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Correspondence to Behnam Vahdani.

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Vahdani, B., Hadipour, H., Sadaghiani, J.S. et al. Extension of VIKOR method based on interval-valued fuzzy sets. Int J Adv Manuf Technol 47, 1231–1239 (2010). https://doi.org/10.1007/s00170-009-2241-2

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  • DOI: https://doi.org/10.1007/s00170-009-2241-2

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