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An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria

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  • Guangquan Zhang

    (University of Technology, Sydney)

  • Jie Lu

    (University of Technology, Sydney)

Abstract

Organizations often require decisions to be made by a group, and decision makers often have fuzzy preferences for alternatives and individual judgments when attempting to reach an optimal solution. In order to deal with the fuzziness of preference of decision makers, this paper proposes an integrated fuzzy group decision-making method. This method allows group members to express fuzzy preferences for alternatives and individual judgments for solution selection criteria. It also allowed for the weighting of group members. The method then aggregates these elements into a compromise group decision which is the most acceptable for the group as a whole. This method has been implemented and tested. An example is presented to illustrate the method.

Suggested Citation

  • Guangquan Zhang & Jie Lu, 2003. "An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria," Group Decision and Negotiation, Springer, vol. 12(6), pages 501-515, November.
    • Handle: RePEc:spr:grdene:v:12:y:2003:i:6:d:10.1023_b:grup.0000004197.04668.cf
    DOI: 10.1023/B:GRUP.0000004197.04668.cf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Wen-Hsien Tsai & Ching-Chien Yang & Jun-Der Leu & Ya-Fen Lee & Chih-Hao Yang, 2013. "An Integrated Group Decision Making Support Model for Corporate Financing Decisions," Group Decision and Negotiation, Springer, vol. 22(6), pages 1103-1127, November.
    2. Kannan Govindan & R. Sivakumar, 2016. "Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches," Annals of Operations Research, Springer, vol. 238(1), pages 243-276, March.
    3. Zhou, Shenghan & Liu, Wei & Chang, Wenbing, 2016. "An improved TOPSIS with weighted hesitant vague information," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 47-53.
    4. Ana X. Halabi & Jairo R. Montoya-Torres & Nelson Obregón, 2012. "A Case Study of Group Decision Method for Environmental Foresight and Water Resources Planning Using a Fuzzy Approach," Group Decision and Negotiation, Springer, vol. 21(2), pages 205-232, March.
    5. Tseng, Ming-Lang & Lim, Ming K. & Wu, Kuo-Jui, 2019. "Improving the benefits and costs on sustainable supply chain finance under uncertainty," International Journal of Production Economics, Elsevier, vol. 218(C), pages 308-321.
    6. Ron Chi-Wai Kwok & Duanning Zhou & Quan Zhang & Jian Ma, 2007. "A Fuzzy Multi-Criteria Decision Making Model for IS Student Group Project Assessment," Group Decision and Negotiation, Springer, vol. 16(1), pages 25-42, January.
    7. Ahmet Aytekin & Çağlar Karamaşa, 2017. "Analyzing Financial Performance Of Insurance Companies Traded In BIST via Fuzzy Shannon's Entropy Based Fuzzy TOPSIS Methodology," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 5(1), pages 51-84, June.
    8. Chiu-Chi Wei & Chih-Chien Tai & Shun-Chin Lee & Meng-Ling Chang, 2023. "Assessing Knowledge Quality Using Fuzzy MCDM Model," Mathematics, MDPI, vol. 11(17), pages 1-16, August.
    9. Zaiwu Gong & Lihong Wang, 2017. "On Consistency Test Method of Expert Opinion in Ecological Security Assessment," IJERPH, MDPI, vol. 14(9), pages 1-18, September.
    10. İrfan Ertuğrul, 2011. "Fuzzy Group Decision Making for the Selection of Facility Location," Group Decision and Negotiation, Springer, vol. 20(6), pages 725-740, November.
    11. Kannan Govindan & R. Sivakumar, 2016. "Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches," Annals of Operations Research, Springer, vol. 238(1), pages 243-276, March.
    12. Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring," European Journal of Operational Research, Elsevier, vol. 195(3), pages 942-959, June.

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