李华,王丽英,段晓恒.单边三角形模糊数属性决策树学习算法[J].南华大学学报(自然科学版),2007,21(3):81~83.[.On the Handing of One - side - Triangle - Fuzzy - Number - Valued Attributes in Decision Tree Generation[J].Journal of University of South China(Science and Technology),2007,21(3):81~83.]
单边三角形模糊数属性决策树学习算法
On the Handing of One - side - Triangle - Fuzzy - Number - Valued Attributes in Decision Tree Generation
  修订日期:2007-05-09
DOI:
中文关键词:  机器学习  归纳学习  单边三角形模糊数  决策树  类信息熵极小
英文关键词:Machine learning,Induction learning,One-side-Triangle-Fuzzy-Number,Decision tree,information entropy minimization
基金项目:
李华  王丽英  段晓恒
[1]石家庄铁道学院数理系 [2]核工业第四研究设计院 河北石家庄 [3]河北石家庄
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中文摘要:
      通过定义单边三角形模糊数空间上的一种全序关系,提出了属性取值为单边三角形模糊数的决策树学习算法.作为ID3算法在单边三角形模糊数意义下的推广,算法通过一种分割信息熵的极小化来选取扩展属性.通过非平稳割点的分析,减少了分割信息的计算次数,使算法的效率得到了提高.
英文摘要:
      The paper defines a total order on one-side triangular fuzzy numbers,then presents rules of learning algorithm,that is,one-side decision trees or rules using the information entropy minimization heuristic.The result serves to give a better understanding of the entropy measure,to point out that the behavior of the information entropy heuristic is desirable,and to improve the efficiency of evaluating attributes,for cutting value selection.
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