Fuzzy Multi-attribute Decision Making Methods Based on Improved Set Pair Analysis

Abstract

In view of the problem that attribute value is given in the form of interval number in the fuzzy multiple attribute decision making, comprehensive ideal scheme decision method based on set pair analysis is adopted to make decision. The method extend the application range of set pair analysis from accurate real number domain to fuzzy interval number field. In the condition of uncertain circumstances, set pairs between two interval numbers consists of every scheme and positive ideal scheme and negative ideal scheme are analysed. Connection numbers are obtained and fuzzy multiple attribute decision making is implemented according to the criterion y. Simulation results show that the proposed method is an effective tool to handle uncertain information and solve the fuzzy multiple attribute question.