Research on Attribute Reduction Algorithm Based on Extended Center Dominance Relation

DOI

10.2991/wartia-18.2018.23How to use a DOI?

Keywords

incomplete interval-valued information system; attribute reduction; extended center dominance relation; mean substitution; rough set

Abstract

The attributes reduction of incomplete interval-valued information system is a popular research topic in recent years. How to conduct efficient and quick attribute reduction is the target of many scholars. Based on the existing research work, with mean substitution, this paper tries to impute the incomplete interval-valued information system, easily distinguish out the dominance relation between two interval values by extended center dominance relation, and improve the classical rough set. The comparative analysis of examples shows that the extended center dominance relation and mean substitution can solve the problem in incomplete interval-valued information system with higher efficiency and more rapid calculation.

Copyright

© 2018, 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  - Wen Yu
AU  - Boxia Zhang
PY  - 2018/09
DA  - 2018/09
TI  - Research on Attribute Reduction Algorithm Based on Extended Center Dominance Relation
BT  - Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
PB  - Atlantis Press
SP  - 138
EP  - 145
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-18.2018.23
DO  - 10.2991/wartia-18.2018.23
ID  - Yu2018/09
ER  -