Zhu Hong-yang, Ding Yi, Chai Hua-jin, et al. Analysis and Improvement of Decision Trees with Extension Logic and Extension Thinking Mode[J]. 2019, 36(2): 31-36.
Zhu Hong-yang, Ding Yi, Chai Hua-jin, et al. Analysis and Improvement of Decision Trees with Extension Logic and Extension Thinking Mode[J]. 2019, 36(2): 31-36.DOI: 10.12052/gdutxb.180154.
Analysis and Improvement of Decision Trees with Extension Logic and Extension Thinking Mode
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.
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references
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