Ranking Consistency Analysis and Evaluation of Multiple Attribute Decision Making Method

Abstract

Abstract In the actual decision-making process, different multiple attribute decision making methods used for the same decision-making problem may get different ranking results. This inconsistent ranking can easily lead to decision-making risks. This paper simulates the ranking consistency of six typical multiple attribute decision making methods, including the ranking consistency indexes, consistency probability, the overall consistency of the decision-making methods, and the influence of attribute number and attribute weight on ranking consistency. The results show that various methods have different ranking consistency indexes; the overall consistency of decision-making methods increases with the decrease of the number of attributes; under the condition of equal attribute weights, the decision-making methods have generally better ranking consistency. The research results have reference value for the selection of multiple attribute decision making methods and attribute optimization.