Fuzzy-Syllogistic Systems: a Generic Model for Approximate Reasoning
| dc.contributor.author | Kumova, Bora İsmail | |
| dc.contributor.author | Kumova, Bora İsmail | |
| dc.contributor.other | 03.04. Department of Computer Engineering | |
| dc.contributor.other | 03. Faculty of Engineering | |
| dc.contributor.other | 01. Izmir Institute of Technology | |
| dc.coverage.doi | 10.1007/978-3-319-42007-3_15 | |
| dc.date.accessioned | 2020-07-25T22:12:38Z | |
| dc.date.available | 2020-07-25T22:12:38Z | |
| dc.date.issued | 2016 | |
| dc.description | 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE) -- AUG 02-04, 2016 -- Morioka, JAPAN | en_US |
| dc.description.abstract | The 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.y | en_US |
| dc.identifier.doi | 10.1007/978-3-319-42007-3_15 | en_US |
| dc.identifier.isbn | 978-3-319-42007-3; 978-3-319-42006-6 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.issn | 1611-3349 | |
| dc.identifier.scopus | 2-s2.0-84978792122 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-319-42007-3_15 | |
| dc.identifier.uri | https://hdl.handle.net/11147/9470 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartof | International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016 | en_US |
| dc.relation.ispartofseries | Lecture Notes in Artificial Intelligence | |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Syllogistic reasoning | en_US |
| dc.subject | Fuzzy logic | en_US |
| dc.subject | Approximate reasoning | en_US |
| dc.title | Fuzzy-Syllogistic Systems: a Generic Model for Approximate Reasoning | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Kumova, Bora İsmail | |
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| gdc.description.department | İzmir Institute of Technology. Computer Engineering | en_US |
| gdc.description.endpage | 181 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q3 | |
| gdc.description.startpage | 169 | en_US |
| gdc.description.volume | 9799 | en_US |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W2477502805 | |
| gdc.identifier.wos | WOS:000387771300015 | |
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| gdc.oaire.keywords | Fuzzy logic | |
| gdc.oaire.keywords | Syllogistic reasoning | |
| gdc.oaire.keywords | Approximate reasoning | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
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