Measurement and monitoring of air quality in terms of odour nuisance is an important problem. Although thesource of these nuisances is different (e.g. wastewater treatment plants, municipal landfills), their commonfeature is that they are a complex mixture of odorants with different odour thresholds. An additional problem isoccurrence of the odour interactions between mixture components. From a practical point of view, it would bemost valuable to directly link the odour intensity with the results of analytical air monitoring. This would allowthe on-line odour monitoring using electronic noses, which perform a holistic analysis of the gas mixturescomposition (like olfactometric methods). The paper presents the possibility of application of fuzzy logic todetermine the odour intensity and indicate odour interactions in model, five-component gas mixtures (acetone,α-pinene, formaldehyde, toluene and triethylamine) using electronic nose prototype. As the results of thestudies, it was found the electronic nose prototype along with the fuzzy logic pattern recognition system canbe successfully used for this application. The results obtained using fuzzy logic are consistent with sensoryanalysis results in 80%.
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