Decision Making Method Based on Paraconsistent Annotated Logic and Statistical Method: a Comparison

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dc.contributor.authorCarvalho, Fabio Romeu de [UNESP]
dc.contributor.authorBrunstein, Israel [UNESP]
dc.contributor.authorAbe, Jair Minoro [UNESP]
dc.contributor.authorDubois, D. M.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T16:34:47Z
dc.date.available2020-12-10T16:34:47Z
dc.date.issued2008-01-01
dc.description.abstractPresently, there are new kinds of logic capable of handling uncertain and contradictory data without becoming trivial. Decision making theories based on these logics have shown to be powerful in many aspects regarding more traditional methods based on Statistics. In this paper we intend to outline a first study for a decision making, theory based on Paraconsistent Annotated Evidential Logic ET (Paraconsistent Decision Method (PDM)) and classical Statistical Decision Method (SDM). Some discussion is presented below.en
dc.description.affiliationUniv Estadual Paulista, UNIP, BR-04026002 Sao Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNIP, BR-04026002 Sao Paulo, Brazil
dc.format.extent195-208
dc.identifier.citationComputing Anticipatory Systems. Melville: Amer Inst Physics, v. 1051, p. 195-208, 2008.
dc.identifier.issn0094-243X
dc.identifier.urihttp://hdl.handle.net/11449/194697
dc.identifier.wosWOS:000262094700017
dc.language.isoeng
dc.publisherAmer Inst Physics
dc.relation.ispartofComputing Anticipatory Systems
dc.sourceWeb of Science
dc.subjectDecision making
dc.subjectparaconsistent annotated logic
dc.subjectpara-analyzer algorithm
dc.subjectlevel of requirement
dc.subjectnon-classical logics
dc.titleDecision Making Method Based on Paraconsistent Annotated Logic and Statistical Method: a Comparisonen
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderAmer Inst Physics
unesp.author.orcid0000-0003-2088-9065[3]

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