2004
DOI: 10.1007/s00894-004-0200-2
|View full text |Cite
|
Sign up to set email alerts
|

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.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
17
0

Year Published

2009
2009
2018
2018

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 15 publications
(18 citation statements)
references
References 12 publications
1
17
0
Order By: Relevance
“…Among the five basic senses in the animal body, odour represents the most complex one, since limited theory has been established regarding it so far . In 1991, Buck and Axel proposed that a family of genes related to the odorant receptor is expressed as a 7‐ trans membrane G‐protein coupled receptor .…”
Section: Introductionmentioning
confidence: 99%
“…Among the five basic senses in the animal body, odour represents the most complex one, since limited theory has been established regarding it so far . In 1991, Buck and Axel proposed that a family of genes related to the odorant receptor is expressed as a 7‐ trans membrane G‐protein coupled receptor .…”
Section: Introductionmentioning
confidence: 99%
“…Kissi et al [44] and Kim et al [45] determined MFs using GA for structure-odor modeling and fuzzy traffic controllers, respectively. However, the authors did not propose a new generalized method for use in any natural event modeling.…”
Section: Existing Literature On Fuzzy Modelingmentioning
confidence: 99%
“…Kissi, Ramdani et al [23] [24] proposed a representation of the membership functions for the linguistic variables spherical (Figure 3), surface (Figure 4) and camphorated ( Figure 5) in the fuzzy logic context. We notice that these fuzzy sets are unbalanced.…”
Section: The Schnabel Score Classifies Molecules Into Three Classesmentioning
confidence: 99%