Representative Set of Objects in Rough Sets Based on Galois Connections

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URI: http://hdl.handle.net/10498/24202

DOI: 10.1007/978-3-030-52705-1_26

ISSN: 0302-9743

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Author/s
Madrid Labrador, Nicolás MiguelAuthority UCA; Ramírez Poussa, EloísaAuthority UCA
Date
2020
Department
Estadística e Investigación Operativa
Source
Lecture Notes in Computer Science Volume 12179 LNAI, 2020, Pages 349-361 International Joint Conference on Rough Sets, IJCRS 2020; Havana; Cuba; 29 June 2020 through 3 July 2020; Code 242009
Abstract
This paper introduces a novel definition, called representative set of objects of a decision class, in the framework of decision systems based on rough sets. The idea behind such a notion is to consider subsets of objects that characterize the different classes given by a decision system. Besides the formal definition of representative set of objects of a decision class, we present different mathematical properties of such sets and a relationship with classification tasks based on rough sets. © 2020, Springer Nature Switzerland AG.
Subjects
Attribute reduction; Decision systems; Object reduction reduct; Rough Set Theory
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