A novel fuzzy logic model for multiple gas sensor array

Abstract

Gas sensors have the issue of non linearity, low selectivity and cross sensitivity to other gases which cause a huge aberration from the expected results. These can be alleviated if sensors are integrated and studied. While Artificial Neural Network models are not accurate in identification of complex mixtures of gases, this is improved by using a fuzzy logic model for an array of gas sensors which identifies the presence and the concentration of gases efficiently.