检索结果-南通市图书馆

A Novel Incremental Attribute Reduction Algorithm Based on Intuitionistic Fuzzy Partition Distance

Computer Systems Science & Engineering 2023年第12期47卷 2971-2988页

作者： Pham Viet Anh Nguyen Ngoc Thuy Nguyen Long Giang Pham Dinh Khanh Nguyen The Thuy Graduate University of Science and Technology Vietnam Academy of Science and TechnologyHanoi100000Vietnam Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi100000Vietnam HaUI Institute of Technology Hanoi University of IndustryHanoi100000Vietnam Faculty of Information Technology University of SciencesHue UniversityHue530000Vietnam AI Research Department Neurond Technology JSCHanoi100000Vietnam Information and Communication Technology Center Department of Information and CommunicationsBacninh790000Vietnam

Attribute reduction,also known as feature selection,for decision information systems is one of the most pivotal issues in machine learning and data *** based on the rough set theory and some extensions were proved to be efficient for dealing with the problemof attribute ***,the intuitionistic fuzzy sets based methods have not received much interest,while these methods are well-known as a very powerful approach to noisy decision tables,i.e.,data tables with the low initial classification ***,this paper provides a novel incremental attribute reductionmethod to dealmore effectivelywith noisy decision tables,especially for highdimensional *** particular,we define a new reduct and then design an original attribute reduction method based on the distance measure between two intuitionistic fuzzy *** should be noted that the intuitionistic fuzzypartitiondistance iswell-knownas aneffectivemeasure todetermine important *** interestingly,an incremental formula is also developed to quickly compute the intuitionistic fuzzy partition distance in case when the decision table increases in the number of *** formula is then applied to construct an incremental attribute reduction algorithm for handling such dynamic ***,some experiments are conducted on real datasets to show that our method is far superior to the fuzzy rough set based methods in terms of the size of reduct and the classification accuracy.

关键词： Incremental attribute reduction intuitionistic fuzzy sets partition distance measure dynamic decision tables

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：