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Intelligent classification using adaptive fuzzy logic systems

Kodogiannis, Vassilis and Petrounias, Ilias and Lygouras, John N. (2008) Intelligent classification using adaptive fuzzy logic systems. In: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008. IEEE, Los Alamitos, USA, pp. 9-13. ISBN 9781424417391


Official URL: http://dx.doi.org/10.1109/IS.2008.4670453


Abstract Fuzzy systems are currently finding practical applications, ranging from “soft” regulatory control in consumer products to accurate modeling of non-linear systems. A novel approach, based on adaptive fuzzy logic systems, has been discussed in this paper. Its performance is evaluated through a simulation study, using metered data collected from a roadside microphone-array sensor at the Valle d’Aosta highway in north-western Italy. The results indicate that the fuzzy classifier based on the proposed defuzzification method, namely area of balance (AOB), provide more accurate classifications compared to other classifiers.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:5641
Deposited On:19 Dec 2008 15:53
Last Modified:11 Aug 2010 15:34

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