Journal of Northeastern University ›› 2004, Vol. 25 ›› Issue (7): 657-660.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Fusion algorithm for uncertain information by fuzzy decision tree

Zhang, Xiao-Dan (1); Zhao, Hai (1); Wang, Gang (1); Wei, Shou-Zhi (1)   

  1. (1) Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-07-15 Published:2013-06-24
  • Contact: Zhang, X.-D.
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Abstract: Aiming at acquiring new knowledge, a method is proposed. It takes advantage of the ID3 algorithm of fuzzy decision tree to analyze and process comprehensively numerous multi-source information data in test space, develops an accurate evaluation model and extracts its implied rules. The method has been applied to the examination system of a numerical simulation system in Fengman Hydropower Station, Jilin. Experimental results indicate that such a method for knowledge extraction represents the information fusion idea solving the question of multi-source data, and the high efficiency in processing numerous disorderly and uncertain data.

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