LiU Electronic Press
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Author:
Nguyen, Linh Anh (University of Warsaw, Poland)
Szalas, Andrzej (Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems) (Linköping University, The Institute of Technology)
Title:
Logic-Based Roughification
Department:
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems
Linköping University, The Institute of Technology
Publication type:
Chapter in book (Other academic)
Language:
English
In:
Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam (vol. I)
Editor:
A. Skowron and Z. Suraj
Edition:
1
Publisher: Springer Berlin/Heidelberg
Series:
Intelligent Systems Reference Library, ISSN 1868-4394; 42
Pages:
517-543
Year of publ.:
2013
URI:
urn:nbn:se:liu:diva-80274
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-80274
ISBN:
978-3-642-30343-2
Subject category:
Computer and Information Science
Abstract(en) :

The current chapter is devoted to roughification. In the most general setting, we intend the term roughification to refer to methods/techniques of constructing equivalence/similarity relations adequate for Pawlak-like approximations. Such techniques are fundamental in rough set theory. We propose and investigate novel roughification techniques. We show that using the proposed techniques one can often discern objects indiscernible by original similarity relations, what results in improving approximations. We also discuss applications of the proposed techniques in granulating relational databases and concept learning. The last application is particularly interesting, as it shows an approach to concept learning which is more general than approaches based solely on information and decision systems.

Available from:
2012-08-23
Created:
2012-08-23
Last updated:
2012-08-29
Statistics:
27 hits