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An interval type-2 fuzzy sets-based TODIM method and its application to green supplier selection

Author

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  • Xiuzhi Sang

    (Nanjing Agricultural University, Nanjing, China)

  • Xinwang Liu

    (Southeast University, Nanjing, China)

Abstract

With the increasing awareness and significant environmental pressures from various stakeholders, companies have realized the significance of selecting green suppliers to their supply chain activities, which involves multiple criteria with uncertainty and the decision makers’ behaviour with irrational. Interval type-2 fuzzy sets (IT2 FSs) have advantages in modelling uncertainty over type-1 fuzzy sets. And TODIM is an useful non-linear prospect model for selecting the irrationally determined alternatives, but the ratings and weights are crisp values. In this paper, we develop the IT2 FSs-based TODIM method to select green supplier. First, we introduce a new distance computing method for IT2 FSs to assist the dominance models to deal with gains (losses) computation. Second, we identify the gains (losses) computing expression through comparing the ranking values of the IT2 FSs evaluations, and obtain the dominance degree of one alternative over others. Third, we use the presented IT2 FSs ranking method using possibility mean and variation coefficient concepts to defuzzify the dominance degree, and obtain the crisp global performance to select the best alternative. Finally, we also apply the proposed IT2 FSs-based TODIM method to green supplier selection for automobile manufacturers.

Suggested Citation

  • Xiuzhi Sang & Xinwang Liu, 2016. "An interval type-2 fuzzy sets-based TODIM method and its application to green supplier selection," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(5), pages 722-734, May.
    • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:5:p:722-734
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    Cited by:

    1. Morteza Yazdani & Dragan Pamucar & Prasenjit Chatterjee & Ali Ebadi Torkayesh, 2022. "“A multi-tier sustainable food supplier selection model under uncertainty”," Operations Management Research, Springer, vol. 15(1), pages 116-145, June.
    2. Aleksandar Aleksić & Danijela Tadić, 2023. "Industrial and Management Applications of Type-2 Multi-Attribute Decision-Making Techniques Extended with Type-2 Fuzzy Sets from 2013 to 2022," Mathematics, MDPI, vol. 11(10), pages 1-24, May.
    3. Aleksander Banasik & Jacqueline M. Bloemhof-Ruwaard & Argyris Kanellopoulos & G. D. H. Claassen & Jack G. A. J. Vorst, 2018. "Multi-criteria decision making approaches for green supply chains: a review," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 366-396, September.
    4. Yuan, Jiahai & Li, Xinying & Xu, Chuanbo & Zhao, Changhong & Liu, Yuanxin, 2019. "Investment risk assessment of coal-fired power plants in countries along the Belt and Road initiative based on ANP-Entropy-TODIM method," Energy, Elsevier, vol. 176(C), pages 623-640.
    5. Dong-Fang Wang & Qian-Li Dong & Zhi-Min Peng & Syed Abdul Rehman Khan & Arthur Tarasov, 2018. "The Green Logistics Impact on International Trade: Evidence from Developed and Developing Countries," Sustainability, MDPI, vol. 10(7), pages 1-19, June.

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