Fuzzy Human Reliability Analysis: Applications and Contributions Review

Autores
Baziuk, Pedro Alejandro; Rivera, S. S.; Núñez Mc Leod, Jorge Eduardo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The applications and contributions of fuzzy set theory to human reliability analysis (HRA) are reassessed. The main contribution of fuzzy mathematics relies on its ability to represent vague information. Many HRA authors have made contributions developing new models, introducing fuzzy quantification methodologies. Conversely, others have drawn on fuzzy techniques or methodologies for quantifying already existing models. Fuzzy contributions improve HRA in five main aspects: (1) uncertainty treatment, (2) expert judgment data treatment, (3) fuzzy fault trees, (4) performance shaping factors, and (5) human behaviour model. Finally, recent fuzzy applications and new trends in fuzzy HRA are herein discussed.
Fil: Baziuk, Pedro Alejandro. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Rivera, S. S.. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Núñez Mc Leod, Jorge Eduardo. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Materia
FUZZY HUMAN RELIABILITY
FUZZY CONTRIBUTIONS
FUZZY APPLICATIONS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/180093
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Fuzzy Human Reliability Analysis: Applications and Contributions ReviewBaziuk, Pedro AlejandroRivera, S. S.Núñez Mc Leod, Jorge EduardoFUZZY HUMAN RELIABILITYFUZZY CONTRIBUTIONSFUZZY APPLICATIONShttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2The applications and contributions of fuzzy set theory to human reliability analysis (HRA) are reassessed. The main contribution of fuzzy mathematics relies on its ability to represent vague information. Many HRA authors have made contributions developing new models, introducing fuzzy quantification methodologies. Conversely, others have drawn on fuzzy techniques or methodologies for quantifying already existing models. Fuzzy contributions improve HRA in five main aspects: (1) uncertainty treatment, (2) expert judgment data treatment, (3) fuzzy fault trees, (4) performance shaping factors, and (5) human behaviour model. Finally, recent fuzzy applications and new trends in fuzzy HRA are herein discussed.Fil: Baziuk, Pedro Alejandro. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Rivera, S. S.. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; ArgentinaFil: Núñez Mc Leod, Jorge Eduardo. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaHindawi Publishing Corporation2016-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180093Baziuk, Pedro Alejandro; Rivera, S. S.; Núñez Mc Leod, Jorge Eduardo; Fuzzy Human Reliability Analysis: Applications and Contributions Review; Hindawi Publishing Corporation; Advances in Fuzzy Systems; 2016; 3-2016; 1-101687-711XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1155/2016/4612086info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:59:44Zoai:ri.conicet.gov.ar:11336/180093instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:59:44.386CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Fuzzy Human Reliability Analysis: Applications and Contributions Review
title Fuzzy Human Reliability Analysis: Applications and Contributions Review
spellingShingle Fuzzy Human Reliability Analysis: Applications and Contributions Review
Baziuk, Pedro Alejandro
FUZZY HUMAN RELIABILITY
FUZZY CONTRIBUTIONS
FUZZY APPLICATIONS
title_short Fuzzy Human Reliability Analysis: Applications and Contributions Review
title_full Fuzzy Human Reliability Analysis: Applications and Contributions Review
title_fullStr Fuzzy Human Reliability Analysis: Applications and Contributions Review
title_full_unstemmed Fuzzy Human Reliability Analysis: Applications and Contributions Review
title_sort Fuzzy Human Reliability Analysis: Applications and Contributions Review
dc.creator.none.fl_str_mv Baziuk, Pedro Alejandro
Rivera, S. S.
Núñez Mc Leod, Jorge Eduardo
author Baziuk, Pedro Alejandro
author_facet Baziuk, Pedro Alejandro
Rivera, S. S.
Núñez Mc Leod, Jorge Eduardo
author_role author
author2 Rivera, S. S.
Núñez Mc Leod, Jorge Eduardo
author2_role author
author
dc.subject.none.fl_str_mv FUZZY HUMAN RELIABILITY
FUZZY CONTRIBUTIONS
FUZZY APPLICATIONS
topic FUZZY HUMAN RELIABILITY
FUZZY CONTRIBUTIONS
FUZZY APPLICATIONS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The applications and contributions of fuzzy set theory to human reliability analysis (HRA) are reassessed. The main contribution of fuzzy mathematics relies on its ability to represent vague information. Many HRA authors have made contributions developing new models, introducing fuzzy quantification methodologies. Conversely, others have drawn on fuzzy techniques or methodologies for quantifying already existing models. Fuzzy contributions improve HRA in five main aspects: (1) uncertainty treatment, (2) expert judgment data treatment, (3) fuzzy fault trees, (4) performance shaping factors, and (5) human behaviour model. Finally, recent fuzzy applications and new trends in fuzzy HRA are herein discussed.
Fil: Baziuk, Pedro Alejandro. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Rivera, S. S.. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Núñez Mc Leod, Jorge Eduardo. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
description The applications and contributions of fuzzy set theory to human reliability analysis (HRA) are reassessed. The main contribution of fuzzy mathematics relies on its ability to represent vague information. Many HRA authors have made contributions developing new models, introducing fuzzy quantification methodologies. Conversely, others have drawn on fuzzy techniques or methodologies for quantifying already existing models. Fuzzy contributions improve HRA in five main aspects: (1) uncertainty treatment, (2) expert judgment data treatment, (3) fuzzy fault trees, (4) performance shaping factors, and (5) human behaviour model. Finally, recent fuzzy applications and new trends in fuzzy HRA are herein discussed.
publishDate 2016
dc.date.none.fl_str_mv 2016-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/180093
Baziuk, Pedro Alejandro; Rivera, S. S.; Núñez Mc Leod, Jorge Eduardo; Fuzzy Human Reliability Analysis: Applications and Contributions Review; Hindawi Publishing Corporation; Advances in Fuzzy Systems; 2016; 3-2016; 1-10
1687-711X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/180093
identifier_str_mv Baziuk, Pedro Alejandro; Rivera, S. S.; Núñez Mc Leod, Jorge Eduardo; Fuzzy Human Reliability Analysis: Applications and Contributions Review; Hindawi Publishing Corporation; Advances in Fuzzy Systems; 2016; 3-2016; 1-10
1687-711X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1155/2016/4612086
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Hindawi Publishing Corporation
publisher.none.fl_str_mv Hindawi Publishing Corporation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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