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Intelligent classification using adaptive fuzzy logic systems

By Vassilis Kodogiannis, Ilias Petrounias and John N. Lygouras

Abstract

Abstract\ud 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

Topics: UOW3
Publisher: IEEE
OAI identifier: oai:westminsterresearch.wmin.ac.uk:5641
Provided by: WestminsterResearch

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