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A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection

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  • Yongming Song
  • Guangxu Li

Abstract

A large amount of stakeholders take part in the decision-making process, usually called a large-scale group decision-making (LGDM) problem. Some stakeholders may only provide partial preference information because of the limitation of knowledge over the alternatives. In this paper, a LGDM model is proposed to handle such problems, in which the incomplete multi-granular linguistic information showcases more appropriateness in respect of multi-stakeholders to represent their assessments. Meanwhile, the proposed model attains the maximum information from all decision makers and avoids an oversimplification for the elicited information in traditional linguistic models. It is more significant that we present three normalising methods for the purpose of securing the complete probabilistic linguistic term sets (PLTSs) based on risk attitudes: optimistic, pessimistic and neutral, respectively. In addition, alternatives are ranked by the extended TOPSIS method. Finally, a sustainable supplier selection is used to validate the effectiveness of the proposed model.

Suggested Citation

  • Yongming Song & Guangxu Li, 2019. "A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(5), pages 827-841, May.
    • Handle: RePEc:taf:tjorxx:v:70:y:2019:i:5:p:827-841
    DOI: 10.1080/01605682.2018.1458017
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    Citations

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    Cited by:

    1. Xuan, Li, 2022. "Big data-driven fuzzy large-scale group decision making (LSGDM) in circular economy environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Tang, Ming & Liao, Huchang, 2021. "Multi-attribute large-scale group decision making with data mining and subgroup leaders: An application to the development of the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    3. Choi, Tsan-Ming & Chen, Yue, 2021. "Circular supply chain management with large scale group decision making in the big data era: The macro-micro model," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Huchang Liao & Xiaomei Mi & Zeshui Xu, 2020. "A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions," Fuzzy Optimization and Decision Making, Springer, vol. 19(1), pages 81-134, March.
    5. Song, Yongming & Li, Guangxu & Li, Tie & Li, Yanhong, 2021. "A purchase decision support model considering consumer personalization about aspirations and risk attitudes," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    6. Guiwu Wei & Cun Wei & Jiang Wu & Hongjun Wang, 2019. "Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    7. Li, Yanhong & Kou, Gang & Li, Guangxu & Peng, Yi, 2022. "Consensus reaching process in large-scale group decision making based on bounded confidence and social network," European Journal of Operational Research, Elsevier, vol. 303(2), pages 790-802.
    8. Sumin Yu & Zhijiao Du & Xuanhua Xu, 2021. "Hierarchical Punishment-Driven Consensus Model for Probabilistic Linguistic Large-Group Decision Making with Application to Global Supplier Selection," Group Decision and Negotiation, Springer, vol. 30(6), pages 1343-1372, December.
    9. Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
    10. Jung-Fa Tsai & Shih-Ping Shen & Ming-Hua Lin, 2023. "Applying a Hybrid MCDM Model to Evaluate Green Supply Chain Management Practices," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    11. Zhang, Linling & Yuan, Jinjian & Gao, Xinyu & Jiang, Dawei, 2021. "Public transportation development decision-making under public participation: A large-scale group decision-making method based on fuzzy preference relations," Technological Forecasting and Social Change, Elsevier, vol. 172(C).

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