Publication:
Object Classification Via Transferable Belief Model: Case-Based Approach

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dc.contributor.authorsAribas, Kaya Mustafa; Vural, Cabir; Altun, Muhammet
dc.date.accessioned2022-03-12T16:24:36Z
dc.date.accessioned2026-01-11T17:21:36Z
dc.date.available2022-03-12T16:24:36Z
dc.date.issued2020
dc.description.abstractIn this study, a belief function theory based supervised classifier that is able to determine the class of a ship automatically is developed Transferable belief model is used to model the uncertainty and impreciseness about the measurements obtained from sensors. The case-based classifier developed in the context of the transferable belief model is realized and its accuracy is measured on an artificial database.
dc.identifier.doidoiWOS:000653136100188
dc.identifier.isbn978-1-7281-7206-4
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/11424/226396
dc.identifier.wosWOS:000653136100188
dc.language.isotur
dc.publisherIEEE
dc.relation.ispartof2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectbelief function theory
dc.subjecttransferable belief model
dc.subjectobject classification
dc.subjectCOMBINATION
dc.subjectRULE
dc.titleObject Classification Via Transferable Belief Model: Case-Based Approach
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.title2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)

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