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

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

Abstract

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
Subjects: University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)
Depositing User: Miss Nina Watts
Date Deposited: 19 Dec 2008 15:53
Last Modified: 11 Aug 2010 14:34
URI: http://westminsterresearch.wmin.ac.uk/id/eprint/5641

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