1. 广东海洋大学 数学与计算机学院
2. 广东海洋大学 机械与动力工程学院,广东,湛江,524088
朱弘扬(1990–),男,助教,主要研究方向为数据挖掘、智能算法
丁怡(1982–),女,讲师,主要研究方向为网络优化、智能算法. E-mail:daisydy2009@163.com
纸质出版:2019
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朱弘扬, 丁怡, 柴华金, 李升. 可拓逻辑和可拓思维对决策树算法的分析与优化[J]. 广东工业大学学报, 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.
朱弘扬, 丁怡, 柴华金, 李升. 可拓逻辑和可拓思维对决策树算法的分析与优化[J]. 广东工业大学学报, 2019, 36(2): 31-36. DOI: 10.12052/gdutxb.180154.
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.
为从理论层次上深度解析决策树分类算法的逻辑可行性
根据可拓理论中可拓逻辑和可拓思维的全新视角
对构建决策树过程中节点的选择、规则提取和预测等步骤
进行理论上的分析和评价. 以可拓思维中的菱形思维模式来分析决策树算法中节点的选择
以可拓逻辑中基元变换理论来评价决策树算法的规则提取
以可拓逻辑中的基元发散规则来解释决策树算法的预测步骤
在验证决策树算法各个步骤符合可拓理论处理矛盾问题的思维模式的同时
也对决策树算法的分类结果建立了基于可拓理论的评价体系.
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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