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A Preference Model for Supplier Selection Based on Hesitant Fuzzy Sets

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  • Zhexuan Zhou

    (College of System Engineering, National University of Defense Technology, Changsha 410073, China)

  • Yajie Dou

    (College of System Engineering, National University of Defense Technology, Changsha 410073, China)

  • Tianjun Liao

    (State Key Laboratory of Complex System Simulation, Beijing Institute of System Engineering, 10 An Xiang Bei Li Road., Beijing, 100101, China)

  • Yuejin Tan

    (College of System Engineering, National University of Defense Technology, Changsha 410073, China)

Abstract

The supplier selection problem is a widespread concern in the modern commercial economy. Ranking suppliers involves many factors and poses significant difficulties for decision makers. Supplier selection is a multi-criteria and multi-objective problem, which leads to decision makers forming their own preferences. In addition, there are both quantifiable and non-quantifiable attributes related to their preferences. To solve this problem, this paper presents a preference model based on hesitant fuzzy sets (HFS) to select suppliers. The cost and service quality of suppliers are the main considerations in the proposed model. HFS with interactive and multi-criteria decision making are used to evaluate the non-quantifiable attributes of service quality, which include competitive display, qualification ability, suitability and competitiveness of solutions, and relational fitness and dynamics. Finally, a numerical example of supplier selection for a high-end equipment manufacturer is provided to illustrate the applicability of the proposed model. The preferences of a decision maker are then analyzed by altering preference parameters.

Suggested Citation

  • Zhexuan Zhou & Yajie Dou & Tianjun Liao & Yuejin Tan, 2018. "A Preference Model for Supplier Selection Based on Hesitant Fuzzy Sets," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:659-:d:134117
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    References listed on IDEAS

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    Cited by:

    1. Jing Zhang & Dong Yang & Qiang Li & Benjamin Lev & Yanfang Ma, 2020. "Research on Sustainable Supplier Selection Based on the Rough DEMATEL and FVIKOR Methods," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    2. Huilin Li & Jiaqi Yang & Ziquan Xiang, 2022. "A Fuzzy Linguistic Multi-Criteria Decision-Making Approach to Assess Emergency Suppliers," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    3. Weizhang Liang & Bing Dai & Guoyan Zhao & Hao Wu, 2019. "Assessing the Performance of Green Mines via a Hesitant Fuzzy ORESTE–QUALIFLEX Method," Mathematics, MDPI, vol. 7(9), pages 1-19, August.

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