摘要： 模糊决策树的ID3算法是Quinlan提出的传统ID3算法的一个模糊版本?树的整个 产生过程在给定的显著性水平α的基础上进行,的值在很大程度上影响模糊熵的计算,从而 影响模糊决策树最终的分类结果?对参数α关于模糊熵的敏感性进行了分析,试图定性地找 出二者之间的解析关系,从而为选取参数α的值以达到最优的分类结果提供理论依据?
关键词:
归纳学习,
模糊决策树,
模糊熵
Abstract: Fuzzy-ID3 algorithm in the fuzzy decision tree is the fuzzy version of the ID3 algorithm proposed by Quinlan in 1986. The process of building trees is based on significant levelα , the value of αaffect the computation of fuzz y entropy and classification result of fuzzy decision tree in large degree. This paper analyzes the sensitivity of parameter αabout fuzzy entropy, expects to f ind qualitatively the analytic relationships between them, and provides the acad emic evidence of selecting parameter α in order to gain the best classification result
中图分类号:
赵明华,孙娟,杨宏伟,王熙照. 模糊决策树中参数对模糊熵的敏感性分析[J]. , 2003, 29(11): 90-92.
ZHAO Minghua1,2, SUN Juan1, YANG Hongwei1, WANG Xizhao1. Sensitivity Analysis of Parameters about Fuzzy Entropy in Fuzzy Decision Tree[J]. , 2003, 29(11): 90-92.