Fuzzy ID3 algorithm based on generating Hartley measure

  • Authors:
  • Fachao Li;Dandan Jiang

  • Affiliations:
  • School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, China;School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, China

  • Venue:
  • WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
  • Year:
  • 2011

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Abstract

Fuzzy decision tree induction algorithm is an important way with uncertain information. However, the current fuzzy decision tree algorithms do not systematically consider the impact of different fuzzy levels and simply make uncertainty treatment awareness into the selection of extended properties. To avoiding this problem, this paper establishes a generating Hartley measure model based on cut-standard, subsequently, proposes fuzzy ID3 algorithm based on generating Hartley measure model, finally, the results of the experiments indicates that the model is feasible and effective.