Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral

This paper presents a ranking method of operating sequences based on the actual condition of complex systems. This objective is achieved using the health checkup concept and the multiattribute utility theory. Our contribution is the proposal of sequences ranking process using data and experts’ judgm...

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Autores principales: Bouaziz, Mohammed-Farouk, Marange, Pascale, Voisin, Alexandre, Petin, Jean-Francois
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117923/
https://www.ncbi.nlm.nih.gov/pubmed/33997771
http://dx.doi.org/10.3389/frai.2020.614853
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author Bouaziz, Mohammed-Farouk
Marange, Pascale
Voisin, Alexandre
Petin, Jean-Francois
author_facet Bouaziz, Mohammed-Farouk
Marange, Pascale
Voisin, Alexandre
Petin, Jean-Francois
author_sort Bouaziz, Mohammed-Farouk
collection PubMed
description This paper presents a ranking method of operating sequences based on the actual condition of complex systems. This objective is achieved using the health checkup concept and the multiattribute utility theory. Our contribution is the proposal of sequences ranking process using data and experts’ judgments. The ranking results in a decision-making element; it allows experts to have an objective and concise overall ranking to be used for decision making. A case study is presented based on an experimental platform; it allows us to compare two aggregation operators: the weighted mean and the Choquet integral.
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spelling pubmed-81179232021-05-14 Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral Bouaziz, Mohammed-Farouk Marange, Pascale Voisin, Alexandre Petin, Jean-Francois Front Artif Intell Artificial Intelligence This paper presents a ranking method of operating sequences based on the actual condition of complex systems. This objective is achieved using the health checkup concept and the multiattribute utility theory. Our contribution is the proposal of sequences ranking process using data and experts’ judgments. The ranking results in a decision-making element; it allows experts to have an objective and concise overall ranking to be used for decision making. A case study is presented based on an experimental platform; it allows us to compare two aggregation operators: the weighted mean and the Choquet integral. Frontiers Media S.A. 2021-03-24 /pmc/articles/PMC8117923/ /pubmed/33997771 http://dx.doi.org/10.3389/frai.2020.614853 Text en Copyright © 2021 Bouaziz, Marange, Voisin and Petin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Bouaziz, Mohammed-Farouk
Marange, Pascale
Voisin, Alexandre
Petin, Jean-Francois
Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral
title Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral
title_full Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral
title_fullStr Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral
title_full_unstemmed Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral
title_short Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral
title_sort control sequence ranking for critical system based on health of equipment thanks to choquet integral
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117923/
https://www.ncbi.nlm.nih.gov/pubmed/33997771
http://dx.doi.org/10.3389/frai.2020.614853
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