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Reliability Evaluation of Binary Group Decision-Making Mechanism

Author

Listed:
  • Qiang Liu

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Ji Nan, Shandong Province 250014, P. R. China)

  • Xinyu Peng

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Ji Nan, Shandong Province 250014, P. R. China)

  • Qingmiao Liu

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Ji Nan, Shandong Province 250014, P. R. China)

  • Qiao Li

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Ji Nan, Shandong Province 250014, P. R. China)

Abstract

Decision-making is an important management activity. This study evaluates the reliability of group decision-making (GDM) and multi-attribute GDM (MAGDM) mechanisms for a class of 0–1 binary decision-making problem. We define the reliability of GDM and MAGDM, use the weighted voting system to model the GDM and MAGDM mechanisms, and propose two algorithms to evaluate the reliability of GDM and MAGDM considering the participation of general or professional decision makers. Additionally, the influence of some system parameters, such as the number of decision makers or attributes, cognitive accuracy of decision makers, and threshold of weighted majority voting rule, on the reliability of GDM and MAGDM was analyzed using random simulation experiments. The results of the random experiment show that: increasing the number of decision makers or attributes could improve the decision accuracy; the reduction in the individual subjective accuracy reduces the overall decision accuracy, which was difficult to compensate for by increasing the number of DMs; guiding DMs to reach consensus through group discussion decreased the decision accuracy of GDM and MAGDM.

Suggested Citation

  • Qiang Liu & Xinyu Peng & Qingmiao Liu & Qiao Li, 2025. "Reliability Evaluation of Binary Group Decision-Making Mechanism," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 24(05), pages 1329-1360, July.
    • Handle: RePEc:wsi:ijitdm:v:24:y:2025:i:05:n:s021962202450007x
    DOI: 10.1142/S021962202450007X
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