Granulation in Rough Set Theory: A novel perspective

José Luis Velázquez-Rodríguez; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Oscar Camacho-Nieto

doi:10.1016/j.ijar.2020.05.003

Granulation in Rough Set Theory: A novel perspective

José Luis Velázquez-Rodríguez, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Oscar Camacho-Nieto

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

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.

Original language	English
Pages (from-to)	27-39
Number of pages	13
Journal	International Journal of Approximate Reasoning
Volume	124
DOIs	https://doi.org/10.1016/j.ijar.2020.05.003
State	Published - Sep 2020

Keywords

Incomplete information systems
Mixed information systems
Multigranularity
Rough sets

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title = "Granulation in Rough Set Theory: A novel perspective",

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.",

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T2 - A novel perspective

AU - Velázquez-Rodríguez, José Luis

AU - Villuendas-Rey, Yenny

AU - Yáñez-Márquez, Cornelio

AU - López-Yáñez, Itzamá

AU - Camacho-Nieto, Oscar

PY - 2020/9

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N2 - 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.

AB - 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.

KW - Incomplete information systems

KW - Mixed information systems

KW - Multigranularity

KW - Rough sets

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M3 - Artículo

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VL - 124

SP - 27

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JO - International Journal of Approximate Reasoning

JF - International Journal of Approximate Reasoning

ER -

Granulation in Rough Set Theory: A novel perspective

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Keywords

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