关键词: 群决策, 区间数, 改进的区间数密度集结算子, 模糊聚类, 群组权重

Abstract: A decision-making method with a modified interval number density aggregation operator is proposed to solve the group weights problems with index data known and weights unknown. First, the several concepts of interval number and interval number density aggregation operator are introduced, the method of interval number clustering is improved, the direct algorithm is applied to cluster the one-dimensional data, and fuzzy statistics variables are defined to make sure which is the best way to clustering. Then based on a modified interval number density aggregation operator the group weights problems with index data known and weights unknown are solved. Finally it is shown that the method is feasible and effective with an example.

Key words: group decision-making, interval number, modified interval number density aggregation operator, fuzzy clustering, group weight