Reliability Evaluation of Binary Group Decision-Making Mechanism

Qiang Liu, Xinyu Peng (), Qingmiao Liu () and Qiao Li ()
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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

International Journal of Information Technology & Decision Making (IJITDM), 2025, vol. 24, issue 05, 1329-1360

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.

Keywords: Weighted voting system; decision reliability; group decision-making; multi-attribute decision-making; 0–1 binary decision-making (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S021962202450007X

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