| 基于熵理论的企业危机预警模型研究 |
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| 引用本文： | 唐葆君,邱菀华,孙星.基于熵理论的企业危机预警模型研究[J].控制与决策,2009,24(1). |
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| 作者姓名： | 唐葆君 邱菀华 孙星 |
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| 作者单位： | 1. 北京航空航天大学经济管理学院,北京,100083
2. 中国电子信息产业发展研究院信息技术研究所,北京,100846 |
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| 摘 要： | 基于熵的最优化原理建立了一种新的企业危机预警模型.首先利用最小判别熵选取企业危机预警特征值;然后提出一种新的聚类算法--极大熵聚类算法,并对预测结果进行分类,判断企业的危机状态.该算法是硬C-均值算法的发展和推广.通过实例分析表明,该模型有效、可行,为企业危机预警提供了一条新的途径.
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| 关 键 词： | 企业危机预警 最小判别熵 特征提取 熵聚类算法 |
Research on model of early-warning of enterprise crisis based on entropy |
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| TANG Bao-jun,QIU Wan-hua,SUN Xing.Research on model of early-warning of enterprise crisis based on entropy[J].Control and Decision,2009,24(1). |
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| Authors: | TANG Bao-jun QIU Wan-hua SUN Xing |
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| Affiliation: | 1.School of Economics and Management;Beihang University;Beijing 100083;China;2.Information Technology Research Institute;China Center of Information Industry Development;Beijing 100846;China. |
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| Abstract: | Based on entropy optimal theory,a new model for early-warning of crisis is established.Firstly,minimum J-divergence entropy is applied to feature extraction.Then the calculating result is classified to judge state of enterprise with a new clustering algorithm,maximum entropy clustering algorithm,which is a development and extension of hard C-means.Finally,an example in early-warning of enterprise crisis is given to validate the model.The results show the feasibility and validity of the model.The research wo... |
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| Keywords: | Early-warning of enterprise crisis Minimum J-divergence entropy Feature extraction Entropy clustering algorithm |
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