Correlation of Attributes in Random Decision Information Systems and Its Application to Attributes Reduction

DOI

10.2991/meeah-18.2018.28How to use a DOI?

Keywords

Random information systems；information entropy；relativity；knowledge reduction；algorithm.

Abstract

The conditional information entropy of a condition attributes set with respect to another condition attributes set is defined in a random decision information system, by using the conditional information entropy the correlation of a conditional attributes set relative to another condition attributes set with respect to decision attributes set, the properties of correlation are discussed, and some concepts about random decision information system, such as necessary attribute, consistent attribute and attributes nuclear, etc, are described by using the correlation. By using the correlation of attributes an attribute reduction method and an attribute reduction algorithm are proposed respectively, and an example shows that the algorithm is effective.

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/).

Download article (PDF)

TY  - CONF
AU  - Xia Wu
AU  - Jialu Zhang
AU  - Jiming Zhong
PY  - 2018/12
DA  - 2018/12
TI  - Correlation of Attributes in Random Decision Information Systems and Its Application to Attributes Reduction
BT  - Proceedings of the 2018 International Conference on Management, Economics, Education, Arts and Humanities (MEEAH 2018)
PB  - Atlantis Press
SP  - 161
EP  - 169
SN  - 2352-5398
UR  - https://doi.org/10.2991/meeah-18.2018.28
DO  - 10.2991/meeah-18.2018.28
ID  - Wu2018/12
ER  -