Kumova, Bora İsmail2017-05-112017-05-112015Kumova, B. İ. (2015, September). Approximate reasoning with fuzzy-syllogistic systems. Paper presented at the 5th Workshop on Dynamics of Knowledge and Belief and the 4th Workshop KI and Kognition, DKB-KIK 2015 - co-located with 38th German Conference on Artificial Intelligence, KI 2015, Dresden, Germany.1613-0073https://hdl.handle.net/11147/5482The 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.eninfo:eu-repo/semantics/openAccessApproximate reasoningFuzzy logicSyllogistic reasoningConference Object2-s2.0-84944326390