Ontology-Based Fuzzy-Syllogistic Reasoning
| dc.contributor.author | Zarechnev, Mikhail | |
| dc.contributor.author | Kumova, Bora İsmail | |
| dc.coverage.doi | 10.1007/978-3-319-19066-2_18 | |
| dc.date.accessioned | 2017-05-11T10:44:19Z | |
| dc.date.available | 2017-05-11T10:44:19Z | |
| dc.date.issued | 2015 | |
| dc.description | 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015; Seoul; South Korea; 10 June 2015 through 12 June 2015 | en_US |
| dc.description.abstract | We discuss the Fuzzy-Syllogistic System (FSS) that consists of the well-known 256 categorical syllogisms, namely syllogistic moods, and Fuzzy- Syllogistic Reasoning (FSR), which is an implementation of the FSS as one complex approximate reasoning mechanism, in which the 256 moods are interpreted as fuzzy inferences. Here we introduce a sample application of FSR as ontology reasoner. The reasoner can associate up to 256 possible fuzzyinferences with truth ratios in [0,1] for every triple concept relationship of the ontology. We further discuss a transformation technique, by which the truth ratio of a fuzzy-inference can increase, by adapting the fuzzy-quantifiers of a fuzzy-inference to the syllogistic logic of the sample propositions. | en_US |
| dc.identifier.citation | Zarechnev, M., and Kumova, B. İ. (2015). Ontology-based fuzzy-syllogistic reasoning. Lecture Notes in Computer Science, 9101, 179-188. doi:10.1007/978-3-319-19066-2_18 | en_US |
| dc.identifier.doi | 10.1007/978-3-319-19066-2_18 | en_US |
| dc.identifier.doi | 10.1007/978-3-319-19066-2_18 | |
| dc.identifier.isbn | 9783319190655 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.issn | 1611-3349 | |
| dc.identifier.scopus | 2-s2.0-84946431016 | |
| dc.identifier.uri | http://doi.org/10.1007/978-3-319-19066-2_18 | |
| dc.identifier.uri | https://hdl.handle.net/11147/5479 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Verlag | en_US |
| dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Approximate reasoning | en_US |
| dc.subject | Categorical syllogisms | en_US |
| dc.subject | Ontologies | en_US |
| dc.subject | Fuzzy inference | en_US |
| dc.title | Ontology-Based Fuzzy-Syllogistic Reasoning | en_US |
| dc.type | Conference Object | en_US |
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| gdc.author.institutional | Kumova, Bora İsmail | |
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| gdc.description.department | İzmir Institute of Technology. Computer Engineering | en_US |
| gdc.description.endpage | 188 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q3 | |
| gdc.description.startpage | 179 | en_US |
| gdc.description.volume | 9101 | en_US |
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| gdc.oaire.keywords | Fuzzy inference | |
| gdc.oaire.keywords | Categorical syllogisms | |
| gdc.oaire.keywords | Ontologies | |
| gdc.oaire.keywords | Approximate reasoning | |
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