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http://dx.doi.org/10.5391/JKIIS.2008.18.6.814

Ontology-based Fuzzy Classifier for Pattern Classification  

Lee, In-K. (Dept. of Electrical Engineering, Yeungnam University)
Son, Chang-S. (Dept. of Electrical Engineering, Yeungnam University)
Kwon, Soon-H. (Dept. of Electrical Engineering, Yeungnam University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.6, 2008 , pp. 814-820 More about this Journal
Abstract
Recently, researches on ontology-based pattern classification have been tried out in many fields. However, in most of the researches, the ontology which represents the knowledge about pattern classification is just referred during the processes of the pattern classification. In this paper, we propose ontology-based fuzzy classifier for pattern classification which is extended from the fuzzy rule-based classifier In order to realize the proposed classifier, we construct an ontology by conceptualizing the method of fuzzy rule-based pattern classification and generate ontology inference rules for pattern classification. Lastly, we show the validity o) the proposed classifier through the experiment of pattern classification on the Fisher's IRIS dataset.
Keywords
ontology; ontological inference; pattern classification; fuzzy classifier;
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Times Cited By KSCI : 1  (Citation Analysis)
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