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
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