FUZZY MULTIPLE ATTRIBUTE DECISION MAKING BASED ON CONSISTENCY APPROXIMATION AND RANKING METHOD

Abstract

Fuzzy AHP extension of AHP was developed to solve imprecise hierarchical problems. The lack of consistency in decision making can lead to inconsistent conclusions. It is difficult to ensure a consistent pair-wise comparison. This paper proposes a consistency approximation and ranking method for fuzzy judgment matrix. This method gives an analysis for parameters in the transformation formulas of the fuzzy consistent judgment matrix and to set up a linear goal programming model to obtain the ranking vector of alternative and the consistent fuzzy judgment matrix for approximating to the decision maker’s preference information. Finally, a numerical example is used to illustrate the proposed method.