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�������պ����ѧѧ�� 2006, Vol. 32 Issue (01) :65-68    DOI:
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������, �ܷ�*
�������պ����ѧ ���ù���ѧԺ, ���� 100083
Knowledge fusion based on D-S evidence theory and its application
Han Liyan, Zhou Fang*
School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� Knowledge fusion is a new concept proposed at the end of last century. The fused knowledge is referred as method, experience and idea as well as data and information. A new knowledge fusion method based on D-S(Dempster-Shafer) evidence theory was presented and applied to corporate failure prediction. There were three steps in the method: mathematic modeling, knowledge fusing and discriminating. The implementation of these steps was developed. The information entropy theory was employed to determine the basic probability assignment of knowledge. The knowledge fusing equation was induced following D-S evidence combination rule. A concise discriminating regulation was proposed to analyze the fusion result. The data of two listed companies was used to show the validity of the presented method. The results indicate this method can reduce the uncertainty of the prediction model effectively.
Keywords�� D-S evidence theory   knowledge fusion   corporate failure prediction   algorithms   processing     
Received 2005-07-14;
About author: ������(1955-),��,������, ����, hanly1@163.com.
������, �ܷ�.����D-S֤�����۵�֪ʶ�ںϼ���Ӧ��[J]  �������պ����ѧѧ��, 2006,V32(01): 65-68
Han Liyan, Zhou Fang.Knowledge fusion based on D-S evidence theory and its application[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2006,V32(01): 65-68
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