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

Luciano Sánchez; Inés Couso; Ana M. Palacios; José L. Palacios

doi:10.1016/j.ymssp.2012.02.009

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

Luciano Sánchez, Inés Couso, Ana M. Palacios, José L. Palacios

Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	76-91
Number of pages	16
Journal	Mechanical Systems and Signal Processing
Volume	37
Issue number	1-2
DOIs	https://doi.org/10.1016/j.ymssp.2012.02.009
State	Published - May 2013

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Signal Processing
Civil and Structural Engineering
Aerospace Engineering
Mechanical Engineering
Computer Science Applications

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10.1016/j.ymssp.2012.02.009

Cite this

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

abstract = "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.",

author = "Luciano S{\'a}nchez and In{\'e}s Couso and Palacios, {Ana M.} and Palacios, {Jos{\'e} L.}",

note = "Funding Information: This study has been supported by the Spanish Ministry of Science and Technology , projects TIN2008-06681-C06-04 and TIN2011-24302 .",

year = "2013",

month = may,

doi = "10.1016/j.ymssp.2012.02.009",

language = "English (US)",

volume = "37",

pages = "76--91",

journal = "Mechanical Systems and Signal Processing",

issn = "0888-3270",

publisher = "Academic Press Inc.",

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}

A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materials. / Sánchez, Luciano; Couso, Inés; Palacios, Ana M. et al.
In: Mechanical Systems and Signal Processing, Vol. 37, No. 1-2, 05.2013, p. 76-91.

Research output: Contribution to journal › Article › peer-review

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T1 - A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materials

AU - Sánchez, Luciano

AU - Couso, Inés

AU - Palacios, Ana M.

AU - Palacios, José L.

N1 - Funding Information: This study has been supported by the Spanish Ministry of Science and Technology , projects TIN2008-06681-C06-04 and TIN2011-24302 .

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AB - 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.

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ER -

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

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