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dc.contributor.authorGrabowski, Adam-
dc.date.accessioned2020-04-20T10:34:13Z-
dc.date.available2020-04-20T10:34:13Z-
dc.date.issued2019-
dc.identifier.citationFormalized Mathematics, Volume 27, Issue 4, Pages 337-345pl
dc.identifier.issn1426-2630-
dc.identifier.urihttp://hdl.handle.net/11320/9019-
dc.description.abstractRough sets, developed by Pawlak [15], are important tool to describe situation of incomplete or partially unknown information. In this article, continuing the formalization of rough sets [12], we give the formal characterization of three rough inclusion functions (RIFs). We start with the standard one, κ£, connected with Łukasiewicz [14], and extend this research for two additional RIFs: κ 1, and κ 2, following a paper by Gomolińska [4], [3]. We also define q-RIFs and weak q-RIFs [2]. The paper establishes a formal counterpart of [7] and makes a preliminary step towards rough mereology [16], [17] in Mizar [13].pl
dc.language.isoenpl
dc.publisherDeGruyter Openpl
dc.rightsUznanie autorstwa-Na tych samych warunkach 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/pl/*
dc.subjectrough setpl
dc.subjectrough inclusionpl
dc.subjectapproximation spacepl
dc.titleFormal Development of Rough Inclusion Functionspl
dc.typeArticlepl
dc.identifier.doi10.2478/forma-2019-0028-
dc.description.AffiliationInstitute of Informatics, University of Białystok, Polandpl
dc.description.referencesAnna Gomolinska. A comparative study of some generalized rough approximations. Fundamenta Informaticae, 51:103–119, 2002.pl
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dc.description.referencesAdam Grabowski. On the computer-assisted reasoning about rough sets. In B. Dunin-Kęplicz, A. Jankowski, A. Skowron, and M. Szczuka, editors, International Workshop on Monitoring, Security, and Rescue Techniques in Multiagent Systems Location, volume 28 of Advances in Soft Computing, pages 215–226, Berlin, Heidelberg, 2005. Springer-Verlag. doi:10.1007/3-540-32370-8_15.pl
dc.description.referencesAdam Grabowski. Efficient rough set theory merging. Fundamenta Informaticae, 135(4): 371–385, 2014. doi:10.3233/FI-2014-1129.pl
dc.description.referencesAdam Grabowski. Building a framework of rough inclusion functions by means of computerized proof assistant. In Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, and Davide Ciucci, editors, Rough Sets, volume 11499 of Lecture Notes in Computer Science, pages 225–238, Cham, 2019. Springer International Publishing. ISBN 978-3-030-22815-6. doi:10.1007/978-3-030-22815-6_18.pl
dc.description.referencesAdam Grabowski. Lattice theory for rough sets – a case study with Mizar. Fundamenta Informaticae, 147(2–3):223–240, 2016. doi:10.3233/FI-2016-1406.pl
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dc.description.referencesAdam Grabowski and Michał Sielwiesiuk. Formalizing two generalized approximation operators. Formalized Mathematics, 26(2):183–191, 2018. doi:10.2478/forma-2018-0016.pl
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dc.description.referencesLech Polkowski and Andrzej Skowron. Rough mereology: A new paradigm for approximate reasoning. International Journal of Approximate Reasoning, 15(4):333–365, 1996. doi:10.1016/S0888-613X(96)00072-2.pl
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dc.description.referencesWilliam Zhu. Generalized rough sets based on relations. Information Sciences, 177: 4997–5011, 2007.pl
dc.identifier.eissn1898-9934-
dc.description.volume27-
dc.description.issue4-
dc.description.firstpage337pl
dc.description.lastpage345pl
dc.identifier.citation2Formalized Mathematicspl
dc.identifier.orcid0000-0001-5026-3990-
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Formalized Mathematics, 2019, Volume 27, Issue 4

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