[1]满江虹,达庆利.基于信息熵的粗约简及其Bayes解释的供应链需求集成分析[J].东南大学学报(自然科学版),2004,34(3):402-405.[doi:10.3969/j.issn.1001-0505.2004.03.028]
 Man Jianghong,Da Qingli.Demand integration analysis for supply chain based on rough set view of information entropy and Bayesian interpretation[J].Journal of Southeast University (Natural Science Edition),2004,34(3):402-405.[doi:10.3969/j.issn.1001-0505.2004.03.028]
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基于信息熵的粗约简及其Bayes解释的供应链需求集成分析()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第3期
页码:
402-405
栏目:
经济与管理
出版日期:
2004-05-20

文章信息/Info

Title:
Demand integration analysis for supply chain based on rough set view of information entropy and Bayesian interpretation
作者:
满江虹 达庆利
东南大学经济管理学院, 南京 210096
Author(s):
Man Jianghong Da Qingli
College of Economics and Management, Southeast University, Nanjing 210096, China
关键词:
供应链 需求集成 粗集 信息熵 Bayes理论
Keywords:
supply chain demand integration rough set information entropy Bayesian theorem
分类号:
F252.21
DOI:
10.3969/j.issn.1001-0505.2004.03.028
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.
Abstract:
Some quantitative analysis for the choice of a supply chain’s integration mode between demand and supply is displayed. Based on the rough set view 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 from the view of Bayesian theorem. At last the algorithms given in this paper are proved to be efficient by a case analysis.

参考文献/References:

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[6] 王国胤,于洪,杨大春.基于条件信息熵的决策表约简[J].计算机学报,2002,25(7):759-765.
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备注/Memo

备注/Memo:
基金项目: 教育部人文社会科学“十五”规划课题资助项目(01JA630048).
作者简介: 满江虹(1971—),女,博士生; 达庆利(联系人),男,教授,博士生导师,dql@public1.ptt.js.cn.
更新日期/Last Update: 2004-05-20