Random-Aggregation Evaluation Method Based on Data Distribution and Its Applications
In order to provide a rational explanation for the special evaluation phenomena such as"the weak overcame the strong in the context of power disparity"from a theoretical perspective,a new random-aggregation evaluation method is proposed,which is demonstrated in detail from the solution,test,and other aspects.Specifically,the concept of"relative winner"is proposed,based on which a distributed random transformation method of precise information is put forward by considering the data distribution.A fusion framework for random data is constructed,which has the characteristics of strong inclusiveness,classification calculation,and independent solution.The solution of the fusion framework is discussed from both holistic and local perspectives,and the mathematic proofs of boundary conditions and relationship with influencing factors,concerning the"superiority probability",are given.Two test criteria for solution results are introduced,which shows that the evaluation method proposed is effective and practical by a simulating arithmetic example and a practical application.