A multiple attribute group decision making method with its application to emergency alternative assessment

Due to the different educational background, experience, career and social status etc., decision makers have different acquaintance degrees of each attribute. Therefore, in this paper, a novel multiple attribute group decision making (MAGDM) method is proposed, in which the weights of decision makers on each attribute are evaluated separately by using similarity. Then, intuitionistic fuzzy weighted averaging (IFWA) operator is used to aggregate individual preference information a collective opinion. Secondly, modified grey relational analysis (GRA) method is used to obtain the relative relational degree of each alternative from positive ideal solution (PIS). Finally, according to the descending order of the relative relational degree, all feasible alternatives are ranked. A numerical example of emergency alternative assessment is used to illustrate the application of the proposed MAGDM method and to demonstrate its feasibility and effectiveness.