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Granulation in Rough Set Theory: A novel perspective

Authors :
Itzamá López-Yáñez
José Luis Velázquez-Rodríguez
Yenny Villuendas-Rey
Oscar Camacho-Nieto
Cornelio Yáñez-Márquez
Source :
International Journal of Approximate Reasoning. 124:27-39
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Considering data from different perspectives (views or granulations) is very common in several applications nowadays. Unfortunately, Rough Sets lack of effective tools for handling multiple granulation in mixed and incomplete information systems. This paper introduces a novel approach for dealing with such information systems: The Parameterized Granulation. The demonstration of some of the properties of such granulation approach, as well as the theoretical and experimental analysis carried out, show the capabilities of this novel granulation, and result in great utility in the study of mixed and incomplete information systems, not only in the context of a single granulation, but in the context of multiple granulations.

Details

ISSN :
0888613X
Volume :
124
Database :
OpenAIRE
Journal :
International Journal of Approximate Reasoning
Accession number :
edsair.doi...........5f2e065351f28946dd03cb2628a86add
Full Text :
https://doi.org/10.1016/j.ijar.2020.05.003