基于因素空间决定度的动态因素约简算法

英文篇名：Dynamic factor reduction algorithm based on decision degree of factor space
作者：陈万景 ; 曾繁慧
英文作者：CHEN Wanjing;ZENG Fanhui;College of Science, Liaoning Technical University;Institute of Intelligence Engineering and Mathematics, Liaoning Technical University;
关键词：因素 ; 因素空间 ; 动态约简 ; 新因素 ; 决定度 ; 选择 ; 比较 ; UCI数据集
英文关键词：factor;;factor space;;dynamic reduction;;new factors;;decision degree;;choose;;compare;;UCI data sets
中文刊名：FXKY
英文刊名：Journal of Liaoning Technical University(Natural Science)
机构：辽宁工程技术大学理学院;辽宁工程技术大学智能工程与数学研究院;
出版日期：2018-04-15
出版单位：辽宁工程技术大学学报(自然科学版)
年：2018
期：v.37;No.234
基金：国家自然科学基金(61350003,71371091);; 辽宁省教育厅科学技术研究一般项目(L2014133)
语种：中文;
页：FXKY201802033
页数：4
CN：02
ISSN：21-1379/N
分类号：208-211

摘要

针对因素分析表中的因素实时变化的问题,利用因素空间决定度,给出了动态的因素约简算法.该算法分析了增加因素的决定度与原静态因素约简后因素的决定度之间的大小关系,有效利用原因素分析表静态因素约简的结果.在此基础上,实现了对新增加因素后的因素分析表的动态因素约简.在UCI数据集上的实验结果表明:动态的因素约简算法是有效可行的.
For the problem of real-time change of factors in the factors analysis table, an algorithm of dynamic factor reduction is proposed by using decision degree in factor space. The algorithm analyzes the relationship between the decision degree of increasing factors and the decision degree of the original static factor reduction, and effective use the results of the static factor reduction of the original factor analysis table. On the basis of the above, the dynamic factor reduction of factor analysis table is realized. The experimental in data set of UCI results show that the dynamic factors reduction algorithm is effective and feasible.

引文

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