@article{Li2022, 
author = {Li Li and Hongbo Sun and Xia Yao},
title = {Parameter Sensitivity Analysis of Co-Decisions},
year = {2022},
journal = {International Journal of Crowd Science},
volume = {6},
number = {2},
pages = {63-73},
keywords = {parameter sensitivity, crowd decision-making, member modeling, large-scale simulation},
url = {https://www.sciopen.com/article/10.26599/IJCS.2022.9100009},
doi = {10.26599/IJCS.2022.9100009},
abstract = {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.}
}