Abstract

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 a-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 con-fidence vectors are obtained to evalua-te alternatives' performances. Finally, a numerical example is given to illustrate this method.

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