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title:
 
Updating Approximations Dynamically in Dominance-based Rough Sets
publication:
 
ICEBI-10
part of series:
  Advances in Intelligent Systems Research
ISBN:
  978-90-78677-40-6
ISSN:
  1951-6851
DOI:
  doi:10.2991/icebi.2010.1 (how to use a DOI)
author(s):
 
Shaoyong Li, Tianrui Li, Junbo Zhang
publication date:
 
December 2010
abstract:
 
Dominance-based rough set (DBRS) approach is dedicated to analysis of data with ordinal properties by the dominance relation. Incrementally updating knowledge is a hot topic in data mining and granular computing. This paper presents algorithms for updating approximations dynamically in DBRS when adding or deleting objects in the universe. Experimental evaluation is employed to compare the efficiency of the proposed approaches with its traditional counterpart.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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