摘要
运用三角模糊数的概念根据个体加权向量,提出两种衡量个体间一致性的相似度量函数.根据第1种相似度量函数,构造个体、群体的一致性指标.在此基础上,给出群体一致性的定义,并运用个体指标提出由个体加权向量寻求群体加权向量的具体方法.根据第2种相似度量函数,给出了群体强、弱一致的充要条件.该条件为上述寻求方法提供了一个寻求的范围,减少群体一致性寻求的盲目性.
In this paper , two similarity measuring functions are proposed under the concept of triangular fuzzy number .The first function can be used to construct individual and group consensus index, the group consensus definition and the methods of searching group consensus vectors are given by the individual vectors. By the second function ,the group strong and weak consensus conditions are given , a searching set is provided for searching methods by those conditions, and the blindness of the group consensus researching is reduced .
出处
《系统工程学报》
CSCD
1998年第4期86-92,共7页
Journal of Systems Engineering
基金
国防预研基金
关键词
相似度量函数
一致性指标
群体一致性向量
一致性判别方法
similarity measuring function, consensus index, group consensus vector, consensus discriminance