Aggregation Approach of Two Kinds of Three-Point Interval Number Comparison Matrix in Group Decision Making
群决策中两类三端点区间数判断矩阵的集结方法

The group aggregation approach of three-point interval number reciprocal comparison matrix and three-point interval number complementary comparison matrix in group decision making is studied. First, the ordered weighted averaging (OWA) is used to aggregate the decision-maker0s multi-di erent preference into two matrixes, one is three-point interval number reciprocal matrix and the other is three-point interval number complementary matrix. According to the complete consistency definition of three-point interval number comparison matrix, weight models of three-point interval number comparison matrixes are proposed. In order to obtain the consistent opinion, a group aggregation weight approach is suggested. Then a weight low-upper value model is developed. Finally, the group's weights are ranked to obtain the ultimate order based on the possibility degree.