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基于粗糙集的智能家居规则提取方法

霍磊 王志良

现代电子技术Issue(5):38-41,46,5.
现代电子技术Issue(5):38-41,46,5.DOI:10.16652/j.issn.1004-373x.2016.05.009

基于粗糙集的智能家居规则提取方法

Rough set based rules extraction method for smart home

霍磊 1王志良1

作者信息

  • 1. 北京科技大学 自动化学院,北京 100083
  • 折叠

摘要

Abstract

The key issue of smart home is to generate the personalized service rules for different uses without user interven⁃tion. The service rules can′t be predefined due to the subjectivity of user habit,so they should be extracted in the running pro⁃cess of smart home system. The rough set is a tool to deal with the incomplete information,and suitable for mining the potential rules in mass complex data. The smart home is regarded as a state⁃driven environment to establish the smart home control sys⁃tem platform with controlled state. A personalization rules extraction method for smart home based on rough set is proposed,in which the history status records of the family are taken as the mining object to discrete the state values. The key factors affecting on the decision were found out by attribute reduction,and then the value is reduced to obtain the decision rules. The experimen⁃tal results from smart home laboratory show this method has practical value.

关键词

粗糙集/智能家居/规则提取/属性约简/数据挖掘

Key words

rough set/smart home/rules extraction/attribute reduction/data mining

分类

信息技术与安全科学

引用本文复制引用

霍磊,王志良..基于粗糙集的智能家居规则提取方法[J].现代电子技术,2016,(5):38-41,46,5.

基金项目

国家973项目(2011CB505402);国家自然科学基金项目(61170117);省部产学研结合项目(2011A090200008)专项资金资助 ()

现代电子技术

OA北大核心CSTPCD

1004-373X

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