Multiple Attribute And Its Application Based On Interval Type-2 Fuzzy Probability Model

With the deepening of human's acknowledge and the unlimited exten-sion of thinking,uncertain problems are increasingly becoming an important research topic.Based on related literature,this article further study the mul-tiple attribute decision under the type-2 fuzzy information system.two new kinds of decision model is introduced and some examples are adopted to verify the feasibility and validity of the model.The main work are as follows:1?Study the corresponding literature of fuzzy set,type-2 fuzzy set,in-terval type-2 fuzzy set,interval type-2 trapezoid fuzzy set,and sufficiently understand the concepts and connotations.2?Research the prior probability between the interval numbers under uniform distribution,interval type-2 fuzzy probability model 1 based on a the prior relationship has been established by defining the prior probability,stratified to analyze the permutation of the object by using the ranking number,together with the unknown attribute weight derived from entropy variables calculate the weighted ranking number,obtain the comprehensive final ranking order,and evaluate the optimal object.3?Investigate the interval type-2 trapezoid fuzzy set under the assump-tion of uniform distribution,optimize the fuzzy probability model by redefining the prior probability on the interval type-2 trapezoid fuzzy set and using the weighting method of minimizing the distance,establish a interval type-2 fuzzy probability model 2 to reduce the loss of data,to integrate data more effec-tively,and to improve the feasibility and validity of the model.