Proceedings of the Fuzzy System Symposium
31st Fuzzy System Symposium
Session ID : WD3-2
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Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)

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Formulation of Dynamic Fuzzy Classifiers using Passive-Aggressive Learning
*Tomoharu Nakashima
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Keywords: fuzzy rule, on-line learning, classifier
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Abstract
On-line dynamic fuzzy classifiers are investigated in this paper. Previous papers have proposed confidence-weighted learning method for modifying the consequent real values. The framework used in the previous proposal can be used in any type of learning if the value-modification is based on an mathematical optimization. This research focus on passive-aggressive learning and examine the performance of the proposed online dynamic fuzzy systems with the previous ones.
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© 2015 Japan Society for Fuzzy Theory and Intelligent Informatics
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