A Consensus Model for Multiple Attribute Group Decision Making Problems Based on Interval Fuzzy Number

Sometimes, we find decision situations in which it is difficult to express preferences by means of concrete preference degrees. The consistency measure is a vital basis for consensus model of group decision making, and includes two sub problems: individual consistency measure and consensus measure. In this paper, a consensus model for multiple attribute group decision making problems in which the experts use interval fuzzy number to represent their attribute values is presented and a two-stage (a consensus process and a selection process) approach is proposed to solve it.