Updating Approximations Dynamically in Dominance-based Rough Sets

DOI

10.2991/icebi.2010.1How to use a DOI?

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

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shaoyong Li
AU  - Tianrui Li
AU  - Junbo Zhang
PY  - 2010/12
DA  - 2010/12
TI  - Updating Approximations Dynamically in Dominance-based Rough Sets
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 1
EP  - 7
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.1
DO  - 10.2991/icebi.2010.1
ID  - Li2010/12
ER  -