Intelligent classification using adaptive fuzzy logic systems
Vassilis Kodogiannis, Ilias Petrounias, John N. Lygouras · 2008
Fuzzy systems are currently finding practical applications, ranging from ldquosoftrdquo 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 dpsilaAosta 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.