An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach

The aim of this article is to present the fuzzy Petri net algorithm and its implementation on the Guide d’etude des modes de marche et d’arrêt (GEMMA) guide paradigm. Additionally, this article presents a brief description of the GEMMA guide paradigm, the fuzzy logic approach, the Petri nets theory,...

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Detalhes bibliográficos
Autores: Yakrangi, Oz, Saltaren, Roque, Cely, Juan S., Rodriguez-Barroso, Alejandro, Garcia Cena, Cecilia E., San Segundo, Pablo, De la Cueva, Julio, Shapiro, Amir
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universidad Rey Juan Carlos
Repositorio:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/29958
Acesso em linha:https://hdl.handle.net/10115/29958
Access Level:acceso abierto
Palavra-chave:fuzzy logic
Petri nets
fuzzy Petri nets
intelligent control
decision-making
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spelling An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets ApproachYakrangi, OzSaltaren, RoqueCely, Juan S.Rodriguez-Barroso, AlejandroGarcia Cena, Cecilia E.San Segundo, PabloDe la Cueva, JulioShapiro, Amirfuzzy logicPetri netsfuzzy Petri netsintelligent controldecision-makingThe aim of this article is to present the fuzzy Petri net algorithm and its implementation on the Guide d’etude des modes de marche et d’arrêt (GEMMA) guide paradigm. Additionally, this article presents a brief description of the GEMMA guide paradigm, the fuzzy logic approach, the Petri nets theory, and fuzzy Petri nets. Each algorithm is intended for a specific set of transitions, depending on their essential conditions. All these algorithms generate intelligent and safe control of the GEMMA guide paradigm in order to have the best control system for the machine. Moreover, the algorithms are able to make the best decision automatically depending on the machine’s situation and condition, something that allows the machine to be placed in the appropriate mode for each situation. The results show that the different fuzzy Petri net algorithms were working properly for the GEMMA guide paradigm and provided a proper solution for the automation of production systems.MDPI202420242021info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10115/29958reponame:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlosinstname:Universidad Rey Juan CarlosInglésAttribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:burjcdigital.urjc.es:10115/299582026-06-24T12:48:17Z
dc.title.none.fl_str_mv An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
spellingShingle An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
Yakrangi, Oz
fuzzy logic
Petri nets
fuzzy Petri nets
intelligent control
decision-making
title_short An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_full An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_fullStr An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_full_unstemmed An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_sort An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
dc.creator.none.fl_str_mv Yakrangi, Oz
Saltaren, Roque
Cely, Juan S.
Rodriguez-Barroso, Alejandro
Garcia Cena, Cecilia E.
San Segundo, Pablo
De la Cueva, Julio
Shapiro, Amir
author Yakrangi, Oz
author_facet Yakrangi, Oz
Saltaren, Roque
Cely, Juan S.
Rodriguez-Barroso, Alejandro
Garcia Cena, Cecilia E.
San Segundo, Pablo
De la Cueva, Julio
Shapiro, Amir
author_role author
author2 Saltaren, Roque
Cely, Juan S.
Rodriguez-Barroso, Alejandro
Garcia Cena, Cecilia E.
San Segundo, Pablo
De la Cueva, Julio
Shapiro, Amir
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv fuzzy logic
Petri nets
fuzzy Petri nets
intelligent control
decision-making
topic fuzzy logic
Petri nets
fuzzy Petri nets
intelligent control
decision-making
description The aim of this article is to present the fuzzy Petri net algorithm and its implementation on the Guide d’etude des modes de marche et d’arrêt (GEMMA) guide paradigm. Additionally, this article presents a brief description of the GEMMA guide paradigm, the fuzzy logic approach, the Petri nets theory, and fuzzy Petri nets. Each algorithm is intended for a specific set of transitions, depending on their essential conditions. All these algorithms generate intelligent and safe control of the GEMMA guide paradigm in order to have the best control system for the machine. Moreover, the algorithms are able to make the best decision automatically depending on the machine’s situation and condition, something that allows the machine to be placed in the appropriate mode for each situation. The results show that the different fuzzy Petri net algorithms were working properly for the GEMMA guide paradigm and provided a proper solution for the automation of production systems.
publishDate 2021
dc.date.none.fl_str_mv 2021
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10115/29958
url https://hdl.handle.net/10115/29958
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
instname:Universidad Rey Juan Carlos
instname_str Universidad Rey Juan Carlos
reponame_str BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
collection BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410291359416320
score 15.812429

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