A qualitative assessment of indoors air quality is presented, by the use of an electronic nose consisting of a gas sensor array, a data acquisition system and a pattern recognition system. The gas sensors are sensitive to gases polluting the indoors air but they are sensitive to indoors temperature and humidity as well. The data acquisition system overtakes the sensors specific response and outputs a characteristic pattern to the pattern recognition system. The latter, a logic neural network based system, classifies the results of the measurements on qualitative grounds and takes decisions in terms of meliorating comfort inside buildings, houses and work conditions.
