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一类加权连续属性的多变量决策树构造方法
引用本文:黄定轩,武振业. 一类加权连续属性的多变量决策树构造方法[J]. 系统管理学报, 2005, 14(1): 80-83
作者姓名:黄定轩  武振业
作者单位:西南交通大学,经济管理学院,成都,610031
基金项目:四川省软科学研究计划资助项目(032ZR025-020)
摘    要:首先利用粗集理论和模糊聚类理论确定连续多变量属性的选择问题,然后利用聚类中心算法建立等级标准中心以解决连续变量的区间划分问题,其次将等价关系相对泛化的概念用于决策树中多变量检验的构造。最后通过实例说明了本方法是可行的。

关 键 词:连续属性  多变量决策树  粗糙集  模糊聚类
文章编号:1005-2542(2005)01-0080-04
修稿时间:2003-11-27

Approach for Weighted Continuous Multivariate Decision Tree
HUANG Ding-xuan,WU Zhen-ye. Approach for Weighted Continuous Multivariate Decision Tree[J]. Systems Engineering Theory·Methodology·Applications, 2005, 14(1): 80-83
Authors:HUANG Ding-xuan  WU Zhen-ye
Abstract:In this paper, fuzzy aggregation theory and rough set theory are used to deal with selection of continuous multivariate firstly. Secondly, the clustering algorithm is used to construct the standard ranking to solve the extend partition of continuous multivariate. Thirdly, the concept of generalization of one equivalence relation is introduced toc onstruct the multivariate test in the decision tree. At last, an example is given out to make clear that this method is feasible.
Keywords:continuous attribute  multi-attribute decision tree  rough sets  fuzzy clustering
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