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中国管理科学

中国管理科学 ›› 2009, Vol. 17 ›› Issue (2): 152-159.

• 论文 • 上一篇    下一篇

基于云模型关联规则的企业转型战略风险预警

王德鲁, 宋学锋   

  1. 中国矿业大学管理学院, 江苏徐州221116
  • 收稿日期:2008-09-12 修回日期:2009-03-15 出版日期:2009-04-30 发布日期:2009-04-30
  • 作者简介:王德鲁(1978- ),男(汉族),山东济宁人,中国矿业大学管理学院讲师,管理学博士;研究方向:公司转型战略与管理系统复杂性
  • 基金资助:

    教育部新世纪优秀人才支持计划(NECT-04-0485);中国矿业大学青年科研基金(2007A053)

Study on Risk Alert of Enterprise Industry Transition Strategy Based on Cloud Model Association Rules

WANG De-lu, SONG Xue-feng   

  1. School of Management, China University of Mining and Technology, Xuzhou 221116, China
  • Received:2008-09-12 Revised:2009-03-15 Online:2009-04-30 Published:2009-04-30

PDF (PC)

1084

被引次数

31

摘要： 针对评价指标数据的特点,构造了一种基于云模型的数值型关联规则挖掘算法,并将其运用于企业转型战略风险预警。首先运用云模型约简评价指标;然后,采用属性空间软划分方法对定量型属性的定义域进行划分,使定量型关联规则挖掘转换为定性关联规则挖掘,此基础上提取规则模版;最后采用有规则约束的Apriori算法挖掘云关联规则,并对检验样本风险等级进行判别。实证分析结果表明,与标准BP神经网络模型相比,该模型是一种更为有效和实用的战略风险预警工具。

关键词: 云模型, 关联规则, 产业转型战略, 风险预警

Abstract: According to data characteristics of the evaluation index,the quantitative association rules mining algorithm is improved and applied to the risk alert of enterprise industry transition strategy based on cloud model.Firstly,evaluation variables are reduced through cloud model.And then,in order to transform quantitative association rules to qualitative ones,the definition fields of quantitative attributes are divided with an attributes space partition method,and the stencil-plate is extracted Lastly,the association rules are mining to identify strategy risk using Apriori algorithm with rule restrictions.Positive analysis results show that in comparison with BP neural network the model is an efficient and practical risk alert tool.

Key words: cloud model, association rules, industry transition strategy, risk alert

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