fuzzy preference relation

基本解释

We utilize the consistency ratio to check the consistency of fuzzy preference relation.
基于获得的排序向量，利用一致性比例对模糊偏好关系进行一致性检验。
First, we propose two kinds of algorithms, the nearness measure and the majority rule, to aggregate the expert's individual fuzzy evaluations into a group fuzzy preference relation.
首先给出两种具体算法：贴近度法和多数规则法，将专家对方案集的个体模糊偏好判断集结成群体模糊序关系；
It needs lots of computations to get the fuzzy preference relation based on the existed approach and lack the analytical expression to compute the relation between the two fuzzy sets.
基于现存的模糊集之间的偏好关系在得出决策的信息时大多需要大量计算，而且没有提出一种基于解析表达式的计算模糊偏好关系的方法；