摘要
应用加权模糊聚类对第三方逆向物流供应商进行评优,避免了传统模糊聚类算法中没有区分各评价指标之间的不平衡性问题。在本文中,首先采用层次分析法,确定各评价指标的权重,然后将权值与模糊聚类法相结合,通过F-分布确定最佳分类数,从而选出最佳类。最后,利用多级模糊综合评判法,计算综合评价值,选出最优方案,并最终确定出第三方逆向物流供应商。
In order to avoid the imbalance among evaluation index in the general fuzzy clustering,using the weighted fuzzy clustering algorithm to choose the best third-party reverse logistics provider .In this paper,first,the weighted of each index is certained by AHP,and then the weight is added to the fuzzy clustering algorithm.The F-distribution of probability statistics is used to determine the best classification number,which can help choose the best classification.Finally,comprehensive value is computered by fuzzy synthetical evaluation ,through which the the best third-party reverse logistics provider can be selected.
出处
《现代物业（中旬刊）》
2010年第10期33-35,共3页
Modern Property Management
关键词
加权模糊聚类
层次分析法
模糊综合评判法
第三方逆向物流
Weighted fuzzy clustering
Analytic hierarchy process
Fuzzy synthetical evaluation
The third-party reverse logistics provider
