Abstract:

The definiteness of the attribute weight is an important research topic for multipleattribute decision making problems. Firstly, according to the uncertainty of the attribute weight problem for multiattribute decision making problems, the relationship of the similarity between the decision making subject and the ideal standard and the superiority of all decision making subject is analyzed. Secondly, with the help of maximizing deviation algorithm rules, the attribute weight based on the similarity of attribute values is proposed, then the similarity between decision making subject and the ideal standard is utilized to rank and pick over all decision making subjects. 〖JP2〗Finally, this paper takes the probabilistic multiattribute decision making problem that the attribute value is chosen as interval numbers as an example to state the applicability and rationality of the method. Meanwhile the characters between maximizing deviations and the algorithm are compared.