title: Olfactory quality: from descriptor profiles to similarities.
abstract: The model described here, which links olfactory semantic profiles to canonical similarities, performs significantly better than the current state of the art, mainly due to the use of an optimization procedure. Application of Tversky's model in this study shows that in olfaction, estimation of similarities is based exclusively on the distinctive elements of the profiles, and does not take into account the common elements. Moreover, the optimum number of descriptors to reckon with seems to lie between 25 and 30.
authors.affiliation: Groupe Physiologie de la Chimioréception, CNRS-IESGI-UPR 9054, ENSBANA, Dijon, France.
authors.forename: P
authors.initials: P
authors.lastname: Callegari
authors.forename: J
authors.initials: J
authors.lastname: Rouault
authors.forename: P
authors.initials: P
authors.lastname: Laffort
mesh_terms: D000465:Algorithms; D016014:Linear Models; D008962:Models, Theoretical; D009812:Odorants; D018035:Receptors, Odorant; D012903:Smell; D013223:Statistics as Topic
chemical_list: D018035:Receptors, Odorant