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010   $a3-031-53096-9
024 7 $a10.1007/978-3-031-53096-8
035   $a(CKB)30597529800041
035   $a(MiAaPQ)EBC31200977
035   $a(Au-PeEL)EBL31200977
035   $a(DE-He213)978-3-031-53096-8
035   $a(EXLCZ)9930597529800041
100   $a20240227d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBidirectional Comparison of Nominal Sets $eAsymmetry of Proximity /$fby Gra?yna Szkatu?a, Maciej Krawczak
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (218 pages)
225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1140
311 08$a3-031-53095-0 
320   $aIncludes bibliographical references and index.
327   $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.
330   $aThe authors propose a novel measure of proximity between two sets of nominal elements. This measure describes the changes in the first set after adding the second set or changes in the second set after adding the first set. It is crucial to note that this measure is not symmetric, it means that the perturbation of the first set on the second set can be different than the perturbation of the opposition direction. The introduced set impact measure allows for the direct treatment of objects described by nominal-valued attributes. The ordinary sets, multisets, fuzzy sets, and the intuitionistic fuzzy sets are considered. The book is intended for data science professionals, philosophers as well as cognitive psychologists, who struggle with practical problems in which asymmetry of proximity of objects cannot be neglected. The use of the proposed measures of perturbation between compared objects can be very important in data mining or in exploration of Internet resources.
410  0$aStudies in Computational Intelligence,$x1860-9503 ;$v1140
606   $aEngineering$xData processing
606   $aComputational intelligence
606   $aEngineering mathematics
606   $aData Engineering
606   $aComputational Intelligence
606   $aMathematical and Computational Engineering Applications
615  0$aEngineering$xData processing.
615  0$aComputational intelligence.
615  0$aEngineering mathematics.
615 14$aData Engineering.
615 24$aComputational Intelligence.
615 24$aMathematical and Computational Engineering Applications.
676   $a514.323
700   $aSzkatula$b Grazyna$01768743
702   $aKrawczak$b Maciej
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910842293703321
996   $aBidirectional Comparison of Nominal Sets$94231967
997   $aUNINA