DocumentCode
2756048
Title
Linguistic fuzzy classification of olfactive signals
Author
Lazzerini, B. ; Maggiore, A.
Author_Institution
Pisa Univ., Italy
Volume
2
fYear
1998
fDate
4-9 May 1998
Firstpage
1518
Abstract
This paper presents a method for fuzzy classification of odour samples that are obtained from an electronic nose which uses conducting polymer sensors. These sensors are very sensitive but not specific. Linguistic expressions describing the responses of both individual sensors and the sensor array to each chemical are derived from a fuzzy model of the sensor data. A small scale application of the method in which eight sensors were used to classify three odours yielded 100% classification accuracy on out-of-sample data
Keywords
chemioception; fuzzy set theory; gas sensors; pattern classification; signal processing; conducting polymer sensors; electronic nose; fuzzy model; gas sensors; linguistic fuzzy classification; olfactive signals; pattern classification; Acoustic sensors; Chemical sensors; Electronic noses; Feature extraction; Neurons; Pattern recognition; Polymers; Sensor arrays; Sensor phenomena and characterization; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7584
Print_ISBN
0-7803-4863-X
Type
conf
DOI
10.1109/FUZZY.1998.686344
Filename
686344
Link To Document