Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9470
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dc.contributor.authorKumova, Bora İsmail-
dc.date.accessioned2020-07-25T22:12:38Z-
dc.date.available2020-07-25T22:12:38Z-
dc.date.issued2016-
dc.identifier.isbn978-3-319-42007-3; 978-3-319-42006-6-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://doi.org/10.1007/978-3-319-42007-3_15-
dc.identifier.urihttps://hdl.handle.net/11147/9470-
dc.description29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE) -- AUG 02-04, 2016 -- Morioka, JAPANen_US
dc.description.abstractThe well known Aristotelian syllogistic system S consists of 256 moods. We have found earlier that 136 moods are distinct in terms of equal truth ratios that range in tau = [ 0,1]. The truth ratio of a particular mood is calculated by relating the number of true and false syllogistic cases that the mood matches. The introduction of (n -1) fuzzy existential quantifiers, extends the system to fuzzy-syllogistic systems S-n, 1 < n, of which every fuzzy-syllogistic mood can be interpreted as a vague inference with a generic truth ratio, which is determined by its syllogistic structure. Here we introduce two new concepts, the relative truth ratio (r)tau = [ 0,1] that is calculated from the cardinalities of the syllogistic cases of the mood and fuzzy-syllogistic ontology (FSO). We experimentally apply the fuzzy-syllogistic systems S-2 and S-6 as underlying logic of a FSO reasoner (FSR) and discuss sample cases for approximate reasoning.yen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofInternational Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016en_US
dc.relation.ispartofseriesLecture Notes in Artificial Intelligence-
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSyllogistic reasoningen_US
dc.subjectFuzzy logicen_US
dc.subjectApproximate reasoningen_US
dc.titleFuzzy-syllogistic systems: A generic model for approximate reasoningen_US
dc.typeConference Objecten_US
dc.institutionauthorKumova, Bora İsmail-
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume9799en_US
dc.identifier.startpage169en_US
dc.identifier.endpage181en_US
dc.identifier.wosWOS:000387771300015en_US
dc.identifier.scopus2-s2.0-84978792122en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/978-3-319-42007-3_15-
dc.relation.doi10.1007/978-3-319-42007-3_15en_US
dc.coverage.doi10.1007/978-3-319-42007-3_15en_US
local.message.claim2022-06-03T09:50:07.777+0300*
local.message.claim|rp02905*
local.message.claim|submit_approve*
local.message.claim|dc_contributor_author*
local.message.claim|None*
dc.identifier.wosqualityN/A-
dc.identifier.scopusqualityQ3-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Object-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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