fuzzy preference relation

基本解釋

We utilize the consistency ratio to check the consistency of fuzzy preference relation.
基于獲得的排序向量，利用一致性比例對模糊偏好關(guān)系進行一致性檢驗。
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.
首先給出兩種具體算法：貼近度法和多數(shù)規(guī)則法，將專家對方案集的個體模糊偏好判斷集結(jié)成群體模糊序關(guān)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.
基于現(xiàn)存的模糊集之間的偏好關(guān)系在得出決策的信息時大多需要大量計算，而且沒有提出一種基于解析表達式的計算模糊偏好關(guān)系的方法；