基于信息熵的粗约简及其Bayes解释的供应链需求集成分析  

Demand integration analysis for supply chain based on rough set view of information entropy and Bayesian interpretation

作　　者：满江虹[1] 达庆利[1] 

机构地区：[1]东南大学经济管理学院,南京210096

出　　处：《东南大学学报（自然科学版）》2004年第3期402-405,共4页Journal of Southeast University：Natural Science Edition

基　　金：教育部人文社会科学"十五"规划课题资助项目(0 1JA63 0 0 48)

摘　　要：针对供应链管理中需求与供应的集成化方式的选择问题 ,从软计算的角度对现有供应链的集成信息进行数据挖掘和知识发现 ,并提供了相应的辅助决策解释 :用信息论观点下基于条件信息熵的方法进行决策表属性约简 ,得到企业选择需求集成的方式与动机之间关系的知识 ,进而以此知识指导供应链企业针对不同动机选择恰当的需求集成方式 ,并给出所有决策建议的Bayes解释 .最后以算例分析证明本文给出的定量分析与定性解释相结合的决策过程更完备 .Some quantitative analyses for the choice of a supply chain's integration mode between demand and supply are proposed. Based on the rough set theory of information entropy, the knowledge embodies the relation of the integration modes and its incentives are discovered by attribute reduction to the decision table before it is applied to direct a supply chain enterprise to choose a proper demand integrate mode for various motivations. Furthermore, all the decision-making suggestions are interpreted in the view of Bayesian theorem. At last the algorithm is proved to be efficient by a case analysis.

关 键 词：供应链 需求集成 粗集 信息熵 Bayes理论 

分 类 号：F252.21[经济管理—国民经济]