An incremental approach to obtaining attribute reduction for dynamic decision systems

An incremental approach to obtaining attribute reduction for dynamic decision systems

In the 1960s Professor Hu Guoding proposed a method of measuring information based on the idea that connotation and denotation of a concept satisfies inverse ratio rule. According to this information measure, firstly we put forward the information quantity for information systems and decision system...

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Bibliographic Details
Main Author: Wenjun Liu
Format: Article
Language:English
Published: De Gruyter 2016-01-01
Series:Open Mathematics
Subjects:
rough set
conditional information quantity
dynamic decision system
attribute reduction
03e99
Online Access:https://doi.org/10.1515/math-2016-0077
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spelling doaj-caf0d79b72c14a9e82a7b3b990514f8f2021-09-06T19:20:08ZengDe GruyterOpen Mathematics2391-54552016-01-0114187588810.1515/math-2016-0077math-2016-0077An incremental approach to obtaining attribute reduction for dynamic decision systemsWenjun Liu0College of Mathematics and Econometrics, Hunan University, Changsha, Hunan 410004, China and Changsha University of Science and Technology, Changsha, Hunan 410004, ChinaIn the 1960s Professor Hu Guoding proposed a method of measuring information based on the idea that connotation and denotation of a concept satisfies inverse ratio rule. According to this information measure, firstly we put forward the information quantity for information systems and decision systems; then, we discuss the updating mechanism of information quantity for decision systems; finally, we give an attribute reduction algorithm for decision tables with dynamically varying attribute values.https://doi.org/10.1515/math-2016-0077rough setconditional information quantitydynamic decision systemattribute reduction03e99
collection DOAJ
language English
format Article
sources DOAJ
author Wenjun Liu
spellingShingle Wenjun Liu
An incremental approach to obtaining attribute reduction for dynamic decision systems
Open Mathematics
rough set
conditional information quantity
dynamic decision system
attribute reduction
03e99
author_facet Wenjun Liu
author_sort Wenjun Liu
title An incremental approach to obtaining attribute reduction for dynamic decision systems
title_short An incremental approach to obtaining attribute reduction for dynamic decision systems
title_full An incremental approach to obtaining attribute reduction for dynamic decision systems
title_fullStr An incremental approach to obtaining attribute reduction for dynamic decision systems
title_full_unstemmed An incremental approach to obtaining attribute reduction for dynamic decision systems
title_sort incremental approach to obtaining attribute reduction for dynamic decision systems
publisher De Gruyter
series Open Mathematics
issn 2391-5455
publishDate 2016-01-01
description In the 1960s Professor Hu Guoding proposed a method of measuring information based on the idea that connotation and denotation of a concept satisfies inverse ratio rule. According to this information measure, firstly we put forward the information quantity for information systems and decision systems; then, we discuss the updating mechanism of information quantity for decision systems; finally, we give an attribute reduction algorithm for decision tables with dynamically varying attribute values.
topic rough set
conditional information quantity
dynamic decision system
attribute reduction
03e99
url https://doi.org/10.1515/math-2016-0077
work_keys_str_mv AT wenjunliu anincrementalapproachtoobtainingattributereductionfordynamicdecisionsystems
AT wenjunliu incrementalapproachtoobtainingattributereductionfordynamicdecisionsystems
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