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Reseach Article

Fuzzy Logic based Odour Classification System in Electronic Nose

by Jayeeta Sharma, Amlan Jyoti Bhagawati, Riku Chutia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 15
Year of Publication: 2013
Authors: Jayeeta Sharma, Amlan Jyoti Bhagawati, Riku Chutia

Jayeeta Sharma, Amlan Jyoti Bhagawati, Riku Chutia . Fuzzy Logic based Odour Classification System in Electronic Nose. International Journal of Computer Applications. 78, 15 ( September 2013), 18-21. DOI=10.5120/13599-1347

@article{ 10.5120/13599-1347,
author = { Jayeeta Sharma, Amlan Jyoti Bhagawati, Riku Chutia },
title = { Fuzzy Logic based Odour Classification System in Electronic Nose },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 15 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { },
doi = { 10.5120/13599-1347 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T21:51:39.657376+05:30
%A Jayeeta Sharma
%A Amlan Jyoti Bhagawati
%A Riku Chutia
%T Fuzzy Logic based Odour Classification System in Electronic Nose
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 15
%P 18-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA

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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Index Terms

Computer Science
Information Sciences


Fuzzy Logic Sugeno Gas Sensor.