[1]谢琳.动态模糊二叉决策树构造方法[J].南京师范大学学报(工程技术版),2011,11(04):057-62.
　Xie Lin.A Method of Contruction for Dynamic Fuzzy Binary Decision Tree[J].Journal of Nanjing Normal University(Engineering and Technology),2011,11(04):057-62.
点击复制

动态模糊二叉决策树构造方法
分享到：

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
11卷
期数:
2011年04期
页码:
057-62
栏目:
出版日期:
2011-12-31

文章信息/Info

Title:
A Method of Contruction for Dynamic Fuzzy Binary Decision Tree
作者:
谢琳
江苏教育学院苏州学前教育分院，江苏苏州215008
Author(s):
Xie Lin
College of Preschool of Suzhou,Jiangsu Institute of Education,Suzhou 215008,China
关键词:
动态模糊格; 动态模糊决策树; 动态模糊二叉决策树
Keywords:
dynamic fuzzy lattice; dynamic fuzzy decision tree; dynamic fuzzy binary decision tree
分类号:
TP18
摘要:
动态模糊数据分析是海量数据处理的核心课题之一.讨论了动态模糊决策树的属性算法,通过动态模糊二叉决策树的介绍,给出了动态模糊决策树中各结点以及各层对实例集划分之间的关系.由于划分格是对论域的划分,进一步定义了动态模糊划分格,给出了关于动态模糊决策树各层对实例集划分组成的集合的定理,并且证明了动态模糊决策树的各层对实例集的划分组成的集合既是一个线性有序集也是一个动态模糊划分格等.
Abstract:
The dynamic fuzzy data analysis is one of the key topics for mass data． Now many researchers use fuzzy logic for analysis． This article discusses the properties algorithm of dynamic fuzzy decision tree ． It gives the dynamic fuzzy binary decision tree and the relation between the nodes and the layers of the set of instances． The partition lattice is for the domain of discourse． It defines the dynamic fuzzy partition Lattice，and gives the theorems of Layers for the set of instances on the dynamic fuzzy decision tree． It proves that the set is a linearly ordered and that it is also dynamic fuzzy partition lattice．

参考文献/References:

［1］Li Fanzhang． Dynamic Fuzzy Logic and Its Applications［M］． New York: Nova Science Publishers，2008．
［2］蔡晨． 动态模糊决策树模型及应用研究［D］． 苏州: 苏州大学计算机科学与技术学院， 2008． Cai Chen． Research and application on the dynamic fuzzy decision tree learning［D］． Suzhou: School of Computer Science and Technology，Soochow University，2008． ( in Chinese)
［3］尹阿东，谢霖铨，龙誉，等． 动态决策树算法研究［J］． 计算机工程与应用，2004( 33) : 103-105，132． Yin Adong，Xie Linquan，Long Yu，et al． Researches on dynamic algorithm of decision trees［J］． Computer Engineering and Applications，2004( 33) : 103-105，132． ( in Chinese)
［4］Kazuaki Aoki，Toshiharu Watanabe，Mineichi Kudo． Design of decision tree using class-dependent features subsets［J］． Systems and Computers in Japan，2005，36( 4) : 37-47．
［5］李凡长，刘贵全，佘玉梅． 动态模糊逻辑引论［M］． 昆明: 云南科技出版社，2005． Li Fanzhang，Liu Guiquan，She Yumei． An Introduction to Dynamic Fuzzy Logic［M］． Kunming: Yunnan Science and Technology Press，2005． ( in Chinese)
［6］Margaret H Dunham． 数据挖掘教程［M］． 郭崇慧，田凤占，靳晓明，译． 北京: 清华大学出版社，2005． Margaret H Dunham． Data Mining Tutorial［M］． Guo Conghui，Tian Fengzhan， Jin Xiaoming，Translated． Beijing: Tsinghua University Press，2005． ( in Chinese)
［7］孙超利，张继福． 基于属性-值对的信息增益优化算法［J］． 太原科技大学学报，2005，26( 3) : 199-202． Sun Chaoli，Zhang Jifu． The information gain algorithm based on attribute-value on pairs［J］． Journal of Taiyuan University of Science and Technology， 2005，26( 3) : 199-202． ( in Chinese)
［8］Yao Y Y，Yao J T． Granlar computing as a basic for consistent classification problems［J］． Communications of Institute of Information and Computing Machinery，2002，5( 2) : 101-106．

备注/Memo

备注/Memo:
基金项目: 国家自然科学基金( 60775045，61033013) ．
通讯联系人: 谢琳，讲师，研究方向: 人工智能、机器学习，动态模糊逻辑． E-mail: xie_lin_2007@126． Com
更新日期/Last Update: 2013-03-21