Incremental attribute reduction in incomplete decision systems

Wenhao Shu, Hong Shen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

According to whether the underlying information decision system varies with time, methods for attribute reductioncan be categoried as static and dynamic two groups. While most existing work is done for the former, seveval approaches have been developed recently for the latter if the information system is complete, i.e.contains no missing values on any attribute. As to dynamic attribute reduction in incomplete decision systems, there is no work known to our knowledge. In this paper, with the introduction of lower approximation attribute reduction into incomplete decision systems, we present an increment alattribute reduction updating scheme based on discernibility matrices when object set is added to an incomplete decision system.

Original languageEnglish
Title of host publicationProceedings - 2012 5th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2012
Pages250-254
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 5th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2012 - Taipei, Taiwan, Province of China
Duration: 17 Dec 201220 Dec 2012

Publication series

NameProceedings - International Symposium on Parallel Architectures, Algorithms and Programming, PAAP
ISSN (Print)2168-3034
ISSN (Electronic)2168-3042

Conference

Conference2012 5th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2012
Country/TerritoryTaiwan, Province of China
CityTaipei
Period17/12/1220/12/12

Keywords

  • discernibilitymatrix
  • incomplete decision systems
  • incremental attribute reduction
  • positive region
  • rough set theory

Fingerprint

Dive into the research topics of 'Incremental attribute reduction in incomplete decision systems'. Together they form a unique fingerprint.

Cite this