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A Group Decision-making Method Based on Evidence Theory and Deng Entropy

In: Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024)

Author

Listed:
  • Ziying Hong

    (Shanghai University of Electric Power, School of Automation Engineering)

  • Jian Zhong

    (Shanghai University of Electric Power, School of Automation Engineering)

  • Xiaoyan Su

    (Shanghai University of Electric Power, School of Automation Engineering)

Abstract

As group decision-making problems become increasingly complex and the decision-making environment continues to change, a large amount of uncertain information emerges in the decision-making process. How to express and deal with the uncertainty to make the decision results more reasonable is particularly important. In this paper, a group decision-making method based on Evidence theory and Deng entropy is proposed. Firstly, the uncertainty of expert opinions is expressed using Evidence theory through the employment of basic probability assignments (BPAs). Secondly, the uncertainty degree of each BPA is measured by Deng entropy. Thirdly, the BPAs are fused by considering their uncertainty degree and converted into probability distributions through the pignistic probability transformation function. Finally, a decision is made. A case study is provided to demonstrate the effectiveness of the proposed method.

Suggested Citation

  • Ziying Hong & Jian Zhong & Xiaoyan Su, 2025. "A Group Decision-making Method Based on Evidence Theory and Deng Entropy," Advances in Economics, Business and Management Research, in: Lina Zhong & Tang Yao & Chee Yoong Liew & Hongbo Li (ed.), Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024), pages 13-21, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-690-1_3
    DOI: 10.2991/978-94-6463-690-1_3
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