Journal of Guangdong University of Technology ›› 2019, Vol. 36 ›› Issue (02): 31-36.doi: 10.12052/gdutxb.180154

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Analysis and Improvement of Decision Trees with Extension Logic and Extension Thinking Mode

Zhu Hong-yang1, Ding Yi2, Chai Hua-jin1, Li Sheng1   

  1. 1. School of Mathematics and Computer Science, Guangdong Ocean University;
    2. School of Mechanical and Power Engineering, Guangdong Ocean University, Zhanjiang 524088, China
  • Received:2018-11-12 Online:2019-03-15 Published:2019-01-21

Abstract: To analyse the logical feasibility of Decision Trees algorithm in theory, the choice of the note, the extraction of rules and the prediction in decision tree are studied from a novel perspective with extension logic and extension thinking modes. By analysing the processes of note-choice and rule-building in decision tree based on the principles of rhombus thought and element transformation, and evaluating the prediction of decision tree based on element divergence in Extenics, it's found that the logic of decision tree conforms to the concept of Extenics which is used to solve contradictory problems. Besides, an evaluation system for the classification result of decision tree is built based on the Extenics theory.

Key words: extension logic, extension thinking mode, decision trees, contradictory problems

CLC Number: 

  • TP181
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