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Petrović, Bratislav Martić, Milan Radojević, Dragan Poledica, Ana 2023-05-12T09:46:14Z 2023-05-12T09:46:14Z 2016 http://eteze.bg.ac.rs/application/showtheses?thesesId=4103 https://nardus.mpn.gov.rs/handle/123456789/6879 https://fedorabg.bg.ac.rs/fedora/get/o:13685/bdef:Content/download http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=515600026 https://rfos.fon.bg.ac.rs/handle/123456789/96 http://prototype2.rcub.bg.ac.rs/bitstream/id/1237/92.pdf https://hdl.handle.net/21.15107/rcub_nardus_6879 t-3644 U ovoj doktorskoj disertaciji uveden je logički pristup modelovanju sličnosti koji je zasnovan na interpolativnoj Bulovoj algebri. Za merenje sličnosti, predložene su nove interpretabilne logičke mere, parametarske i neparametarske, kao i deskriptivni operator agegacije – logička agregacija. Pored pružanja teorijske osnove, u ovom istraživanju posebna pažnja je posvećena empirijskoj analizi. U svrhu validacije definisanih mera uvedena je logička klasifikacija zasnovana na IBA sličnosti. Za sve uvedene mere izvršena je evaluacija i poređenje na realnim podacima iz domena medicine, gde je pokazano da uvođenje parametara unapređuje rezultate klasifikacije. Na kraju su prikazane mogućnosti za konstruisanje logičkih klasifikatora zasnovanih na ekspertskim funkcijama sličnosti na problemu predviđanja bankrotstva preduzeća. In this doctoral thesis, a logical approach to similarity modeling based on interpolative Boolean algebra is introduced. Novel interpretable logical measures, both nonparametric and parametrized, are introduced for measuring similarity together with logical aggregation as a descriptive aggregation operator. Besides the theоretical background, in this research special attention is devoted to empirical analysis. For validation purposes, logical classification based on IBA similarity is introduced. Defined logical measures are evaluated and compared in the case of medical data, and it is shown that parameterized measures improve classification results. Finally, the benefits of logic-based classifiers with expert similarity functions are presented on the problem of corporate bankruptcy prediction. sr Univerzitet u Beogradu, Fakultet organizacionih nauka openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ BY-NC-ND parametarske mere sličnosti modelovanje sličnosti logičke mere sličnosti klasifikacija klasifikacija zasnovana na sličnosti interpolativna Bulova algebra similarity-based classification similarity modeling parameterized similarity measures logic-based similarity measures interpolative Boolean algebra classification Logički pristup modelovanju sličnosti A logic-based approach to similarity modeling doctoralThesis publishedVersionPetrović, BratislavMartić, MilanRadojević, DraganPoledica, Ana2023-05-12T09:46:14Z2023-05-12T09:46:14Z2016http://eteze.bg.ac.rs/application/showtheses?thesesId=4103https://nardus.mpn.gov.rs/handle/123456789/6879https://fedorabg.bg.ac.rs/fedora/get/o:13685/bdef:Content/downloadhttp://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=515600026https://rfos.fon.bg.ac.rs/handle/123456789/96U ovoj doktorskoj disertaciji uveden je logički pristup modelovanju sličnosti koji je zasnovan na interpolativnoj Bulovoj algebri. Za merenje sličnosti, predložene su nove interpretabilne logičke mere, parametarske i neparametarske, kao i deskriptivni operator agegacije – logička agregacija. Pored pružanja teorijske osnove, u ovom istraživanju posebna pažnja je posvećena empirijskoj analizi. U svrhu validacije definisanih mera uvedena je logička klasifikacija zasnovana na IBA sličnosti. Za sve uvedene mere izvršena je evaluacija i poređenje na realnim podacima iz domena medicine, gde je pokazano da uvođenje parametara unapređuje rezultate klasifikacije. Na kraju su prikazane mogućnosti za konstruisanje logičkih klasifikatora zasnovanih na ekspertskim funkcijama sličnosti na problemu predviđanja bankrotstva preduzeća.In this doctoral thesis, a logical approach to similarity modeling based on interpolative Boolean algebra is introduced. Novel interpretable logical measures, both nonparametric and parametrized, are introduced for measuring similarity together with logical aggregation as a descriptive aggregation operator. Besides the theоretical background, in this research special attention is devoted to empirical analysis. For validation purposes, logical classification based on IBA similarity is introduced. Defined logical measures are evaluated and compared in the case of medical data, and it is shown that parameterized measures improve classification results. Finally, the benefits of logic-based classifiers with expert similarity functions are presented on the problem of corporate bankruptcy prediction.srUniverzitet u Beogradu, Fakultet organizacionih naukaopenAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/parametarske mere sličnostimodelovanje sličnostilogičke mere sličnostiklasifikacijaklasifikacija zasnovana na sličnostiinterpolativna Bulova algebrasimilarity-based classificationsimilarity modelingparameterized similarity measureslogic-based similarity measuresinterpolative Boolean algebraclassificationLogički pristup modelovanju sličnostiA logic-based approach to similarity modelingdoctoralThesisBY-NC-NDhttp://prototype2.rcub.bg.ac.rs/bitstream/id/1237/92.pdfhttps://hdl.handle.net/21.15107/rcub_nardus_6879t-3644publishedVersionhttp://purl.org/coar/resource_type/c_18cf open doctoralThesis Publications With Fulltexthttp://purl.org/coar/resource_type/c_18cfopendoctoralThesisPublicationsWith Fulltext#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#92.pdf92.pdfExtracted textWritten by FormatFilter org.dspace.app.mediafilter.PDFFilter on 2023-05-15T09:04:40Z (GMT).92.pdf.txtExtracted textWritten by FormatFilter org.dspace.app.mediafilter.PDFFilter on 2023-05-15T09:04:40Z (GMT).92.pdf.txtIM ThumbnailWritten by FormatFilter org.dspace.app.mediafilter.ImageMagickPdfThumbnailFilter on 2023-05-15T09:14:56Z (GMT).92.pdf.jpgIM ThumbnailWritten by FormatFilter org.dspace.app.mediafilter.ImageMagickPdfThumbnailFilter on 2023-05-15T09:14:56Z (GMT).92.pdf.jpg