Computer Engineering / Bilgisayar Mühendisliği

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Scopus Q: search.filters.scopusQuartile.Q4Subject: search.filters.subject.Approximate reasoning

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  • Conference Object
    Citation - Scopus: 1
    Approximate Reasoning With Fuzzy-Syllogistic Systems
    (CEUR Workshop Proceedings, 2015) Kumova, Bora İsmail
    The well known Aristotelian syllogistic system consists of 256 moods. We have found earlier that 136 moods are distinct in terms of equal truth ratios that range in τ=[0,1]. The truth ratio of a particular mood is calculated by relating the number of true and false syllogistic cases the mood matches. A mood with truth ratio is a fuzzy-syllogistic mood. The introduction of (n-1) fuzzy existential quantifiers extends the system to fuzzy-syllogistic systems nS, 1<n, of which every fuzzy-syllogistic mood can be interpreted as a vague inference with a generic truth ratio that is determined by its syllogistic structure. We experimentally introduce the logic of a fuzzy-syllogistic ontology reasoner that is based on the fuzzy-syllogistic systems nS. We further introduce a new concept, the relative truth ratio rτ=[0,1] that is calculated based on the cardinalities of the syllogistic cases.