δ-information reducts and bireducts

DOI

10.2991/ifsa-eusflat-15.2015.163How to use a DOI?

Keywords

Similarity relation, information system, reduct, bireduct, discernibility function.

Abstract

Attribute reduction is an important step in order to decrease the computational complexity to derive information from databases. In this paper, we extend the notions of reducts and bireducts introduced in rough set theory for attribute reduction purposes and let them work with similarity relations defined on attribute values. Hence, the related mathematical concepts will be introduced and the characterizations of the new reducts and bireducts will be given in terms of the corresponding generalizations of the discernibility function.

Copyright

© 2015, 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  - Mª José Benítez
AU  - Jesús Medina
AU  - Dominik Slezak
PY  - 2015/06
DA  - 2015/06
TI  - δ-information reducts and bireducts
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1154
EP  - 1160
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.163
DO  - 10.2991/ifsa-eusflat-15.2015.163
ID  - Benítez2015/06
ER  -