title: Determination of fuzzy logic membership functions using genetic algorithms: application to structure-odor modeling.
abstract: Fuzzy logic has been used as a tool in structure-camphoraceous odor relationships. The data base studied included 99 molecules. The rules used to discriminate between camphor and non camphor molecules lead to 77% correct discrimination. Such rules account for the shape and the size of the molecule. Their adjustment by means of genetic algorithms led to 84% correct discrimination between camphor and non-camphor molecules. [figure: see text]. Membership function for the chosen variables.
authors.affiliation: UFR de Chimie Appliquée, Faculté des Sciences et Techniques, B.P. 146, 20650, Mohammedia, Morocco.
authors.forename: Mohamed
authors.initials: M
authors.lastname: Kissi
authors.forename: Mohammed
authors.initials: M
authors.lastname: Ramdani
authors.forename: Mustapha
authors.initials: M
authors.lastname: Tollabi
authors.forename: Driss
authors.initials: D
authors.lastname: Zakarya
mesh_terms: D000465:Algorithms; D002164:Camphor / Q000737:chemistry* / Q000145:classification; D002965:Classification / Q000379:methods*; D017143:Fuzzy Logic; D008957:Models, Genetic; D008958:Models, Molecular; D009812:Odorants; D013329:Structure-Activity Relationship
chemical_list: D002164:Camphor