Numerical Characterizations of Topological Reductions of Covering Information Systems in Evidence Theory

The reductions of covering information systems in terms of covering approximation operators are one of the most important applications of covering rough set theory. Based on the connections between the theory of topology and the covering rough set theory, two kinds of topological reductions of cover...

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Veröffentlicht in:Mathematical problems in engineering Jg. 2021; S. 1 - 9
Hauptverfasser: Zhang, Yan-Lan, Li, Chang-Qing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 31.03.2021
John Wiley & Sons, Inc
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ISSN:1024-123X, 1563-5147
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Abstract The reductions of covering information systems in terms of covering approximation operators are one of the most important applications of covering rough set theory. Based on the connections between the theory of topology and the covering rough set theory, two kinds of topological reductions of covering information systems are discussed in this paper, which are characterized by the belief and plausibility functions from the evidence theory. The topological spaces by two pairs of covering approximation operators in covering information systems are pseudo-discrete, which deduce partitions. Then, using plausibility function values of the sets in the partitions, the definitions of significance and relative significance of coverings are presented. Hence, topological reduction algorithms based on the evidence theory are proposed in covering information systems, and an example is adopted to illustrate the validity of the algorithms.
AbstractList The reductions of covering information systems in terms of covering approximation operators are one of the most important applications of covering rough set theory. Based on the connections between the theory of topology and the covering rough set theory, two kinds of topological reductions of covering information systems are discussed in this paper, which are characterized by the belief and plausibility functions from the evidence theory. The topological spaces by two pairs of covering approximation operators in covering information systems are pseudo-discrete, which deduce partitions. Then, using plausibility function values of the sets in the partitions, the definitions of significance and relative significance of coverings are presented. Hence, topological reduction algorithms based on the evidence theory are proposed in covering information systems, and an example is adopted to illustrate the validity of the algorithms.
Author Zhang, Yan-Lan
Li, Chang-Qing
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Copyright © 2021 Yan-Lan Zhang and Chang-Qing Li. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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SubjectTerms Algorithms
Approximation
Engineering
Information systems
Mathematical analysis
Mathematical functions
Operators (mathematics)
Partitions
Set theory
Topology
Universe
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Title Numerical Characterizations of Topological Reductions of Covering Information Systems in Evidence Theory
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