Abstract: This thesis proposes a new method to solve three element connection numbers of linguistic interval information aggregation by using the attribute weights and information decision-making. The main idea is to transform language interval variables into three element connection numbers matrix and build multi-attribute optimization function and language interval attribute weights interval numbers of three element connection numbers by optimizing the aggregation of the matrix. This thesis calculates the potential value and makes priority ranking by set pair analysis. Finally, examples are given to show the procedure and effectiveness of the method.

Key words: three element connection numbers, linguistic interval, information aggregate method

摘要： 给出利用属性权重与信息决策解决语言区间信息集结的三元联系数问题的新方法。其主要思路是将语言区间变量转化为对应三元联系数矩阵，并通过对该矩阵最优集结，建立三元联系数多属性优化函数及语言区间属性权重区间数。然后进行集对势分析，计算势关联度大小并择优排序。通过实例说明该算法的处理过程及有效性。

关键词: 三元联系数, 语言区间, 信息集结方法