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020 _a9783031530968
_9978-3-031-53096-8
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082 0 4 _a620.00285
_223
100 1 _aSzkatuła, Grażyna.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aBidirectional Comparison of Nominal Sets
_h[electronic resource] :
_bAsymmetry of Proximity /
_cby Grażyna Szkatuła, Maciej Krawczak.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVII, 206 p. 51 illus., 18 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v1140
505 0 _aIntroduction and main assumptions -- Issues of asymmetry of data proximity -- Matching between ordinary sets -- Matching between sets with binary coding -- Matching between multisets -- Matching between fuzzy sets -- Matching between intuitionistic fuzzy sets -- Summary and perspectives.
520 _aThe authors propose a novel measure of proximity between two sets of nominal elements. This measure describes the changes in the first set after adding the second set or changes in the second set after adding the first set. It is crucial to note that this measure is not symmetric, it means that the perturbation of the first set on the second set can be different than the perturbation of the opposition direction. The introduced set impact measure allows for the direct treatment of objects described by nominal-valued attributes. The ordinary sets, multisets, fuzzy sets, and the intuitionistic fuzzy sets are considered. The book is intended for data science professionals, philosophers as well as cognitive psychologists, who struggle with practical problems in which asymmetry of proximity of objects cannot be neglected. The use of the proposed measures of perturbation between compared objects can be very important in data mining or in exploration of Internet resources.
541 _fUABC ;
_cPerpetuidad
650 0 _aEngineering
_xData processing.
650 0 _aComputational intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aData Engineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aMathematical and Computational Engineering Applications.
700 1 _aKrawczak, Maciej.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031530951
776 0 8 _iPrinted edition:
_z9783031530975
776 0 8 _iPrinted edition:
_z9783031530982
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v1140
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-53096-8
912 _aZDB-2-INR
912 _aZDB-2-SXIT
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