Volume 32 Issue 01
Jan.  2006
Turn off MathJax
Article Contents
Han Liyan, Zhou Fang. Knowledge fusion based on D-S evidence theory and its application[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(01): 65-68. (in Chinese)
Citation: Han Liyan, Zhou Fang. Knowledge fusion based on D-S evidence theory and its application[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(01): 65-68. (in Chinese)

Knowledge fusion based on D-S evidence theory and its application

  • Received Date: 14 Jul 2005
  • Publish Date: 31 Jan 2006
  • 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.

     

  • loading
  • [1] arren L H. Strategic information synthesis by globular knowledge fusion[A] In:Information, Decision and Contro, 1999. IDC99. Proceedings[C] Adelaide:SA, 1999. 407~412 [2] empster A. Upper and lower probabilities induced by multivalued mapping [J] Am Math Statist, 1967, 38:325~339 [3] hafer G. A mathematical theory of evidence [M] Princeton, NJ:Princeton University Press, 1976 [4] eaver W H. Financial ratios as predictors of failure[J] Journal of Accounting Research, 1966, 17(supplement):71~111 [5] ltman E I. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy [J] Journal of Finance, 1968, 23:589~609 [6] hlson J A. Financial ratios and the probabilistic prediction of bankruptcy[J] Journal of Accounting Research, 1980, 18:109~131 [7] 卓,薛 锋,柯孔林. 上市公司财务困境预测Logit模型实证研究[J] 华东经济管理,2002,16(5):103~104 Qiao Zhuo, Xue Feng, Ke Konglin. The empirical research on predicting financial distress in listed companies using logit model[J] East China Economic Management, 2002, 16(5):103~104(in Chinese) [8] arnett J A. Computational methods for a mathematical theory of evidence [A] In:Proceedings of the 7th International Joint Conference on Artificial Intelligence[C] Vancouver:B C, 1981. 868~875 [9] 友,王国宏,陆大金,等. 多传感器信息融合及应用[M] 北京:电子工业出版社,2000.31~32He You, Wang Guohong, Lu Dajin, et al. Multisensor information fusion with applications[M] Beijing:Publishing House of Electronic Industry, 2000. 31~32(in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3631) PDF downloads(8) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return