摘要
基于模糊偏好关系矩阵和IOWA算子,提出了一种改进的用于指标筛选和指标权重确定的模糊群决策方法.该方法以修正后的专家权重作为IOWA算子的诱导分量,将专家个体的模糊偏好集结为群的模糊偏好,在此基础上确定各指标的权重,并以此进行指标的筛选.在剔除不重要的指标后,该方法无须再度采集专家偏好信息就可重新计算剩余指标权重.
An improved fuzzy group decision-making method for metric selecting and weight determining is presented based on fuzzy preference matrix and IOWA operator. In this method, the individual fuzzy preference of expert is aggregated to group fuzzy preference by using IOWA operator with corrected expert weight as induction. The indicator is selected by the determined weight. This method can be used to calculate the remaining indicator’s weight without re-collecting the expert’preference information.
出处
《海南师范大学学报（自然科学版）》
CAS
2011年第1期39-43,共5页
Journal of Hainan Normal University（Natural Science）
基金
海南省教育厅高等学校科研基金项目(HJKJ2011-21)
