Fuzzy-Syllogistic Systems: a Generic Model for Approximate Reasoning

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Date

2016

Authors

Kumova, Bora İsmail

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Publisher

Springer

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Green Open Access

Yes

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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

Description

29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE) -- AUG 02-04, 2016 -- Morioka, JAPAN

Keywords

Syllogistic reasoning, Fuzzy logic, Approximate reasoning, Fuzzy logic, Syllogistic reasoning, Approximate reasoning

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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N/A

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Q3
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2

Source

International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016

Volume

9799

Issue

Start Page

169

End Page

181
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