物流系统模糊综合评估的新算法

企业物流系统综合评价是考核和提升物流系统运行效果的重要方法。物流系统模糊综合评判的实质性计算环节是实现指标隶属度到目标隶属度的转换,但是,在现有的模糊综合评价方法中,对目标分类不起作用的冗余数值也被用于计算目标隶属度。为此,本文从目标分类角度定义指标区分权重、指标关于样本的有效值、可比值概念,由此建立单指标测度向多指标综合测度转换的"一滤、二比、三合成"方法,在无冗余数据条件下实现隶属度转换,并用于物流系统综合评价。

A new algorithm of fuzzy comprehensive evaluation on logistics system

The comprehensive evaluation of enterprise logistics system is an important method to assess and improve the operation effect of logistics system.To converse membership degrees from indexes to objective is the core step in fuzzy comprehensive evaluation of logistics system.However,existing converse algorithms are questionable because redundant data which are useless to objective classification are involved in calculation of membership degrees of the objective.Therefore,in order to classify objects properly,index distinguishable weight,effective value and comparable value of index relative to samples are defined;A membership transformation method based on "filtering,comparison and composition" from single-index measure to multi-index comprehensive measure is also proposed to converse membership degrees without no redundancy date,which can be used in comprehensive evaluation on logistics system.