Title: Fuzzy Comprehensive Model of Quantitative Evaluation of College Student Party Members' Evaluation Indexes
Abstract: With the rapid development of education, the number of college student party members has risen due to the expansion of university enrollment. However, the quality curve of college student party members is declining. They have a series of problems in their personal motivation and leading role. Constructing the evaluation indexes and quantitative assessment system for college students are not only the inevitable requirement for the Party Central Committee to improve the quality of party members, but also the necessary means to establish and improve the quality and quantity system for college students. This paper sets the five aspects of the political quality, daily performance, learning ability, work ability and innovation ability of college student party members as the first-level evaluation indexes, and adopts five principles such as the principle of directional assessment, the combination of qualitative and quantitative assessment principle, comprehensive principle, operability principle, diversity and multi-level principle. Each first-level evaluation index is refined into several secondary evaluation indexes. Through using the variation coefficient method, double weight method, parameter classification method and the like, we’ve given the specific steps to establish this fuzzy comprehensive model of the quantitative evaluation of college student party members' evaluation indexes so as to evaluate the overall quality of college student party members. Finally, an example is given to verify the rationality and accuracy of the proposed model.