Fuzzy Logic based Odour Classification System in Electronic Nose
Author(s) -
Jayeeta Sharma,
Amlan Jyoti Bhagawati,
Riku Chutia
Publication year - 2013
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/13599-1347
Subject(s) - electronic nose , computer science , fuzzy logic , artificial intelligence , machine learning , pattern recognition (psychology)
In this paper, a Sugeno based fuzzy logic classifier for the classification of gases has been presented. The system employs an array of five gas sensors for sensing different gases. The sample space consists of eight gases. A database has been developed using experimentally collected data from the responses of the sensors. The classifier has been designed using the Fuzzy toolbox in MATLAB.
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