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Neighborhood Systems : Rough Set Approximations and Definability

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The notions of approximation and definability in classical rough set theory and their generalizations have received much attention. In this paper, we study such generalizations from the perspective of neighborhood systems. We introduce four different types of definability, called interior definability, closure definability, interior-closure (IC) definability, and weak IC definability respectively. We also point out the relationship between IC definability and other types of definability for some special kinds of neighborhood systems. Several examples are presented to illustrate the concepts introduced in this paper.
Wydawca
Rocznik
Strony
429--450
Opis fizyczny
Bibliogr. 34 poz., tab.
Twórcy
autor
  • Department of Information Management, National Formosa University, Huwei 63201, Yunlin, Taiwan
autor
  • Department of Mathematics, Central Michigan University, Mt. Pleasant, Michigan 48859, USA
autor
  • Institute of Information Science, Academia Sinica, Nankang 115, Taipei, Taiwan
Bibliografia
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  • [14] Lin TY. Granular computing on partitions, coverings and neighborhood systems, Journal of Nanchang Institute of Technology, 2006;5(2):1-7. URL http://en.cnki.com.cn/Article_en/CJFDTotal-NCSB200602003.htm.
  • [15] Lin TY. Granular computing for binary relations: clustering and axiomatic granular operators, Proceedings of the North American Fuzzy Information Processing Society, 2004 pp. 430-433. doi:10.1109/NAFIPS.2004.1336321.
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  • [17] Lin TY. Neighborhood systems - a qualitative theory for fuzzy and rough Sets, in: Advances in Machine Intelligence and Soft Computing (P. Wang Ed.), Duke University, North Carolina, 1997 pp. 132-155. ISBN 978-0964345638.
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  • [20] Liu G, and Zhu W. The algebraic structures of generalized rough set theory, Information Sciences, 2008;178(21):4105-4113. URL https://doi.org/10.1016/j.ins.2008.06.021.
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  • [27] Syau YR, and Jia L. Generalized rough sets based on reflexive relations, Communications in Information and Systems, 2012;12:233-249. URL http://dx.doi.org/10.4310/CIS.2012.v12.n4.a1.
  • [28] Syau YR, and Lin EB. Neighborhood systems and covering approximation spaces, Knowledge-Based Systems, 2014;66:61-67. URL https://doi.org/10.1016/j.knosys.2014.04.017.
  • [29] Syau YR, and Lin EB. On variable precision of generalized rough Sets, Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014 pp. 271-274. doi:10.1109/GRC.2014.6982848.
  • [30] Syau YR, Lin EB, and Liau CJ. Neighborhood systems and variable precision of generalized rough sets, Fundamenta Informaticae, 2017;153(3):271-290. doi: 10.3233/FI-2017-1541.
  • [31] Zakowski W. Approximations in the space (U, Π), Demonstratio Mathematica, 1983;16:761-769. https://www.degruyter.com/view/j/dema.1983.16.issue-3/dema-1983-0319/dema-1983-0319.xml?format=INT.
  • [32] Zhang HP, Ouyang Y, and Wang Z. Note on “Generalized rough sets based on reflexive and transitive relations”, Information Sciences, 2009;179(4):471-473. URL https://doi.org/10.1016/j.ins.2008.10.009.
  • [33] Zhang YL, Li CQ, Lin ML, and Lin YJ. Relationships between generalized rough sets based on covering and reflexive neighborhood system, Information Sciences, 2015;319:56-67. URL https://doi.org/10.1016/j.ins.2015.05.023.
  • [34] Ziarko W. Variable precision rough set model, Journal of Computer and System Sciences, 1993;6:39-59. URL https://doi.org/10.1016/0022-0000(93)90048-2.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d48d3460-64ee-4e9a-bf3d-fbd7ccfa7fcf
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