On the Ranking Models of Interval Number Complementary Judgement Matriz
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-makers different need to the solved interval weight vectors.
AHP interval number complementary judgement matriz consistency ranking method
Wenlei Shi Xuejun Peng Lei Xu Cunmi Song
School of Economics and Management, Hengshui University, Hengshui 053000, P.R. China
国际会议
The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)
长沙
英文
1050-1055
2009-06-01(万方平台首次上网日期,不代表论文的发表时间)