Fuzzy-Syllogistic Systems: a Generic Model for Approximate Reasoning
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Date
2016
Authors
Kumova, Bora İsmail
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
Green Open Access
Yes
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0
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3
Publicly Funded
No
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
Citation
WoS Q
N/A
Scopus Q
Q3

OpenCitations Citation Count
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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Scopus : 1
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