Towards a Classification of Rough Set Bireducts

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URI: http://hdl.handle.net/10498/23928

DOI: 10.1007/978-3-030-50153-2_56

ISSN: 1865-0929

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Author/s
Benítez Caballero, María JoséAuthority UCA; Medina Moreno, JesúsAuthority UCA; Ramírez Poussa, EloísaAuthority UCA
Date
2020
Department
Matemáticas
Source
Communications in Computer and Information ScienceVolume 1239 CCIS, 2020, Pages 759-770
Abstract
Size reduction mechanisms are very important in several mathematical fields. In rough set theory, bireducts arose to reduce simultaneously the set of attributes and the set of objects of the considered dataset, providing subsystems with the minimal sets of attributes that connect the maximum number of objects preserving the information of the original dataset. This paper presents the main properties of bireducts and how they can be used for removing inconsistencies. © 2020, Springer Nature Switzerland AG.
Subjects
Rough set theory; Bireducts; Size reduction
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