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(duì)模糊偏好關(guān)系進(jìn)行一致性檢驗(yàn)。
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(duì)方案集的個(gè)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(shí)大多需要大量計(jì)算，而且沒有提出一種基于解析表達(dá)式的計(jì)算模糊偏好關(guān)系的方法；