DocumentCode :
3523527
Title :
Determination of fuzzy logic membership functions using genetic algorithms: application to olfaction
Author :
Kissi, Mohamed ; Ramdani, Mohammed ; Tollabi, Mustapha ; Zakarya, D.
Author_Institution :
Fac. des Sci., Mohammedia Tech., Morocco
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
616
Lastpage :
619
Abstract :
Genetic algorithm (GA) is an adaptive search technique based on natural selection and genetic rules. GA takes place in various scientific applications and it can be also used to determine the membership functions in fuzzy system. In this paper, a new approach to the recognition of odors is presented. This approach has been implemented using a database of camphorated molecules and an expert knowledge in the fuzzy rule form, for these molecules. The aim of the study is to adjust the shape of membership functions using GA.
Keywords :
chemical engineering computing; expert systems; fuzzy logic; fuzzy systems; genetic algorithms; adaptive search technique; camphorated molecules database; expert knowledge; fuzzy logic membership functions; fuzzy system; genetic algorithms; natural selection; odor recognition; Atomic measurements; Books; Databases; Density measurement; Fuzzy logic; Fuzzy sets; Genetic algorithms; Length measurement; Shape; Volume measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN :
0-7803-8292-7
Type :
conf
DOI :
10.1109/ISSPIT.2003.1341196
Filename :
1341196
Link To Document :
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