A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materials

A methodology for obtaining fuzzy rule-based models from uncertain data is proposed. The granularity of the linguistic discretization is decided with the help of a new estimation of the mutual information between ill-known random variables, and a combination of boosting and genetic algorithms is use...

Full description

Saved in:
Bibliographic Details
Published in:Mechanical systems and signal processing 2013-05, Vol.37 (1-2), p.76-91
Main Authors: Sánchez, Luciano, Couso, Inés, Palacios, Ana M., Palacios, José L.
Format: Article
Language:English
Subjects:
Discretization
Fuzzy
Fuzzy rule-based classifiers
Fuzzy systems
Genetic algorithms
Genetic fuzzy systems
Helicopter rotor blades
Ice-phobic materials
Mechanical systems
Methodology
Mutual information
Shear
Shear adhesion strength
Vague data
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A methodology for obtaining fuzzy rule-based models from uncertain data is proposed. The granularity of the linguistic discretization is decided with the help of a new estimation of the mutual information between ill-known random variables, and a combination of boosting and genetic algorithms is used for discovering new rules. This methodology has been applied to predict whether the coating of an helicopter rotor blade is adequate, considering the shear adhesion strength of ice to different materials. The discovered knowledge is intended to increase the level of post-processing interpretation accuracy of experimental data obtained during the evaluation of ice-phobic materials for rotorcraft applications. ► Imprecise probability-based bounds of the mutual information. ► Numerical algorithm for estimating the mutual information with ill-known data. ► Methodology for discovering expert knowledge from imprecise data. ► Rule-based model of shear adhesion strength of ice for rotorcraft applications.
ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2012.02.009