Multiple attributive group decision making method based on triangular fuzzy numbers

A fuzzy multiple attributive group decision making (FMAGDM) method based on triangular fuzzy numbers is proposed to deal with the problem of the selection of alternatives. Since alternatives' appraisal information with respect to each attribute and the weights of attributes are linguistic terms, they are firstly transformed to the triangular fuzzy numbers. Then the consensus degree is put forward to aggregate decision-makers' authority and the similarity of opinions according to the characters of triangular fuzzy numbers. On this basis, an algorithm is presented to solve the problem step by step. Finally, this method is proved feasible and effective in the evaluation of the enterprises' credit state and the sensitivity analysis of its consensus degree.