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Arabian Journal for Science and Engineering

, Volume 44, Issue 8, pp 7351–7360 | Cite as

Resilient Supplier Selection Through Introducing a New Interval-Valued Intuitionistic Fuzzy Evaluation and Decision-Making Framework

  • Reza Davoudabadi
  • S. Meysam MousaviEmail author
  • Vahid Mohagheghi
  • Behnam Vahdani
Research Article - Systems Engineering
  • 26 Downloads

Abstract

Adaptability to change is one of the essential requirements of the supply chain for organizations in a competitive environment. Development of resilience strategies is the key to achieving this goal. Another issue in supply chains is the necessity for a way of dealing with uncertainty. Therefore, fuzzy logic and numbers have been widely used to model the uncertainty in the problems. The purpose of this paper is to facilitate supply chain management by developing a new approach in resilient supplier selection problem. In this study, after gathering the judgment of decision makers (DMs) as linguistic variables and converting them to interval-valued intuitionistic fuzzy (IVIF) numbers, the weight of each criterion is determined based on an entropy index; then, the complex proportional assessment (COPRAS) method based on IVIF numbers is used for ranking the suppliers. Objective and subjective weights are calculated to determine weights of DMs. Finally, due to the advantages of the last aggregation approaches, weights of DMs and COPRAS scores are aggregated by the weighted aggregated sum product assessment method (WASPAS). Finally, the effectiveness of the proposed method is shown by using the method in two case studies from the literature.

Keywords

Resilient supplier selection Supply chain management Objective and subjective weights Interval-valued intuitionistic fuzzy (IVIF) Last aggregation WASPAS 

Notes

Acknowledgements

The authors would like to thank anonymous referees for their valuable comments that have led to improvements.

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Copyright information

© King Fahd University of Petroleum & Minerals 2019

Authors and Affiliations

  • Reza Davoudabadi
    • 1
  • S. Meysam Mousavi
    • 1
    Email author
  • Vahid Mohagheghi
    • 1
  • Behnam Vahdani
    • 2
  1. 1.Department of Industrial Engineering, Faculty of EngineeringShahed UniversityTehranIran
  2. 2.Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin BranchIslamic Azad UniversityQazvinIran

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