Fuzzy multicriteria decision making based on confidence analysis

In this paper, a fuzzy multicriteria decision model is proposed based on confidence analysis by linguistic approach. Two main characteristics of this method are: (1) Triangular fuzzy numbers are used to express the uncertainties with confidence levels. The ratings of alternatives and the weights of criteria are assessed in triangular fuzzy numbers. By α-cut concept, the triangular fuzzy numbers are incorporated with confidence levels in assessments. (2) Linguistic terms are used to express decision maker's confidence attitudes, upon which confidence vectors are obtained to evaluate alternatives' performances. Finally, a numerical example is given to illustrate this method.