On the Ranking Models of Interval Number Complementary Judgement Matrix

摘要

The decision-maker sometimes provides judgments in the form of interval numbers in the interval analytic hierarchy process. To derive the interval weight vector from an interval number complementary judgment matrix, the normalization of an interval vector is defined, and then based on analysis of constniction principle of the interval judgment matrix.three models of solving interval weight vector are built with linear programming. These three models are called strict model, slack model and goal programming model separately. It is concluded that different models indicate decision-maker's different need to the solved interval weight vectors.