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Parameter Sensitivity Analysis of Co-Decisions

机译：共同决策的参数敏感性分析

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The purpose of this study is to examine the influence of different parameters on the legitimacy rate and effective efficiency of crowd decision-making and to guide decision-making in real life. In this paper, a crowd decision representation method based on the preference domain is proposed for the large-scale simulation implementation of crowd decision in a crowd intelligence network, a simulation modeling is performed for the members participating in the decision, and a formal propulsion algorithm is perfected. Lastly, the influence of key parameters on the decision results is analyzed through a large-scale simulation experiment. This study analyzes the influence of key parameters, such as the number of candidates, number of voters, and voting legitimacy rate reference value, on the decision-making results and summarizes the selection range of key parameters under different results. Through the simulation experiment of crowd decision-making, this paper provides inspiration for researchers to explore the parameter sensitivity of crowd decision-making and provides guidance for crowd decision-making in social life.
机译：本研究旨在检验不同参数对群体决策的合理率和有效效率的影响，并指导现实生活中的决策。该文针对群体智能网络中的群体决策大规模仿真实现提出了一种基于偏好域的群体决策表示方法，对参与决策的成员进行了仿真建模，完善了形式推进算法。最后，通过大规模仿真实验分析了关键参数对决策结果的影响。本研究分析了候选人数量、投票人数、投票合法性率参考值等关键参数对决策结果的影响，总结了不同结果下关键参数的选择范围。本文通过群体决策的模拟实验，为研究者探索群体决策的参数敏感性提供了灵感，并为社会生活中的群体决策提供了指导。

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