Evaluating Leadership Fuzzy Comprehensive of College Students Based on Triangular Fuzzy Number With the rapid development of the global economy and the increasingly fierce employment market, modern society has higher requirements for managersu0027 leadership and comprehensive quality. College students, as the main force of enterprise leaders, plays a decisive role in the future development of enterprises. The leadership evaluation of college students refers to the process of comprehensively using scientific and reasonable evaluation methods, study the actual situation of college studentsu0027 leadership, make objective and effective evaluation results, and ultimately promote students to improve their own leadership ability and the quality of comprehensive quality of higher education. This paper mainly focuses on the central proposition of leadership evaluation of college students. The main research work is as follows: (1) construction of leadership evaluation index system for college students. (2) This paper completes the construction of the fuzzy comprehensive evaluation model of college studentsu0027 leadership based on triangular fuzzy number analytic hierarchy process, and the case study of the leadership evaluation of college students.

User Behavior Redibility Evaluation Model Based on AHP and Rough Set and Game Theory In order to solve the problem that traditional user behavior trustworthiness assessment methods are too subjective and have poor dynamic adaptability when setting classification weight, in this paper, the traditional Analytic Hierarchy Process has been optimized and improved, a new trustworthiness evaluation model of user behavior based on improved AHP, rough set and game theory is proposed. This method combines user activity, reward and punishment factors to evaluate user behavior comprehensively, so that the evaluation results are more scientific and accurate. and demonstrates the feasibility of the method by an example. The results show that the evaluation model can adapt to the dynamic changes in user behavior trust, objectively determine the weight of each decision attribute, and can accurately and effectively assess the credibility of user behavior.