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An Intuitionistic Fuzzy Group Decision-Making Approach Based On Entropy And Similarity Measures

Author

Listed:
  • CUIPING WEI

    (College of Operations Research and Management, Qufu Normal University, Shandong 276826, P. R. China)

  • XIJIN TANG

    (Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, P. R. China)

Abstract

In this paper, we study group decision-making problems based on intuitionistic preference relations. By measuring the uncertain information of intuitionistic preference relations and the average similarity degree of one individual intuitionistic preference relation to the others, we propose a new approach to assess the relative importance weights of experts. The approach takes both the objective and subjective information of experts into consideration. We then integrate the weights of experts into the individual intuitionistic preference relations and develop a relative similarity method to derive the priorities of alternatives. The comparison analysis with other methods by two numerical examples illustrates the practicality and effectiveness of the proposed methods.

Suggested Citation

  • Cuiping Wei & Xijin Tang, 2011. "An Intuitionistic Fuzzy Group Decision-Making Approach Based On Entropy And Similarity Measures," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 10(06), pages 1111-1130.
    • Handle: RePEc:wsi:ijitdm:v:10:y:2011:i:06:n:s0219622011004737
    DOI: 10.1142/S0219622011004737
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    Cited by:

    1. Jian Wu, 2016. "Consistency in MCGDM Problems with Intuitionistic Fuzzy Preference Relations Based on an Exponential Score Function," Group Decision and Negotiation, Springer, vol. 25(2), pages 399-420, March.
    2. Deng-Feng Li & Shu-Ping Wan, 2017. "Minimum Weighted Minkowski Distance Power Models for Intuitionistic Fuzzy Madm with Incomplete Weight Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1387-1408, September.

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