Using hierarchical decision models in voting

This paper discusses the application of hierarchical decision models (HDMs) in voting. Hierarchical decision model voting (HDMV) method can improve the features of voting method in group maintenance, problem abstraction, structuring, analysis, fairness, applicability, validity and truthfulness. HDMV also enables voting prediction and election analysis. HDMV uses HDMs to guide the thoughts of the voters and further employs the voting method to synthesize the different voters´ judgments. This paper outlines the steps to conduct HDMV and shows the advantages of this method. This paper gives an example of using HDMV to elect one student among three candidates and discusses the different decision results from using different methods to synthesize the group judgments. Voting data obtained has been analyzed by using intuitionistic mathematics method. According to the analysis, the paper gives the reasons of the decision results through analysis of voting behavior and therefore illuminates the policies in electioneering when candidates are given the second chance. We also gives an overview to the methodology problems and application research concerning the HDMV in this paper.