International Standard ISO 9001 - An Artificial Intelligence View
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/14889 https://doi.org/10.5220/0005328904210428 |
Resumo: | ISO 9001 is recognized as a Quality Management Systems standard, i.e., it is the primary phase of a process of constant enhancement that will provide an organisation with the necessary management tools to improve working practices. Indeed, it provides a framework and a set of principles aimed at ensuring a common sense approach to the management of an organization in order to consistently satisfy customers and other stakeholders. Therefore, and in order to add value to ISO 9001, this work focuses on the development of a decision support system, which will allow companies to be able to meet the needs of customers by fulfilling requirements that reflect either the effectiveness or the non-effectiveness of an organization. The procedures for knowledge representation and reasoning used are based on an extension to the Logic Programming language, allowing the handling of incomplete, contradictory and even forbidden data, information and/or knowledge. The computational framework is centred on Artificial Neural Networks to evaluate customer’s satisfaction and the degree of confidence that one has on such a happening. |
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International Standard ISO 9001 - An Artificial Intelligence ViewInternational Standard ISO 9001Knowledge Representation and ReasoningLogic ProgrammingArtificial Neural NetworksISO 9001 is recognized as a Quality Management Systems standard, i.e., it is the primary phase of a process of constant enhancement that will provide an organisation with the necessary management tools to improve working practices. Indeed, it provides a framework and a set of principles aimed at ensuring a common sense approach to the management of an organization in order to consistently satisfy customers and other stakeholders. Therefore, and in order to add value to ISO 9001, this work focuses on the development of a decision support system, which will allow companies to be able to meet the needs of customers by fulfilling requirements that reflect either the effectiveness or the non-effectiveness of an organization. The procedures for knowledge representation and reasoning used are based on an extension to the Logic Programming language, allowing the handling of incomplete, contradictory and even forbidden data, information and/or knowledge. The computational framework is centred on Artificial Neural Networks to evaluate customer’s satisfaction and the degree of confidence that one has on such a happening.Scitepress - Science and Technology Publications2015-08-11T14:20:27Z2015-08-112015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/14889http://hdl.handle.net/10174/14889https://doi.org/10.5220/0005328904210428engNeves, J., Fernandes, A., Gomes G., Neves, M., Abelha A. & Vicente, H., International Standard ISO 9001 - An Artificial Intelligence View. In S. Hammoudi, L. Maciaszek & E. Teniente Eds., Proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS 2015), Vol. I, pp. 421-428, Scitepress – Science and Technology Publications, Lisbon, 2015.978-989-758-096-3http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005328904210428IDQUIjneves@di.uminho.ptanavilafernades@gmail.commguida.mgomes@gmail.commaneves@deloitte.co.ukabelha@di.uminho.pthvicente@uevora.ptProceedings of the 17th International Conference on Enterprise Information SystemsNeves, JoséFernandes, AnaGomes, GuidaNeves, MarianaAbelha, AntónioVicente, Henriqueinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:01:09Zoai:dspace.uevora.pt:10174/14889Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:07:53.518162Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
International Standard ISO 9001 - An Artificial Intelligence View |
title |
International Standard ISO 9001 - An Artificial Intelligence View |
spellingShingle |
International Standard ISO 9001 - An Artificial Intelligence View Neves, José International Standard ISO 9001 Knowledge Representation and Reasoning Logic Programming Artificial Neural Networks |
title_short |
International Standard ISO 9001 - An Artificial Intelligence View |
title_full |
International Standard ISO 9001 - An Artificial Intelligence View |
title_fullStr |
International Standard ISO 9001 - An Artificial Intelligence View |
title_full_unstemmed |
International Standard ISO 9001 - An Artificial Intelligence View |
title_sort |
International Standard ISO 9001 - An Artificial Intelligence View |
author |
Neves, José |
author_facet |
Neves, José Fernandes, Ana Gomes, Guida Neves, Mariana Abelha, António Vicente, Henrique |
author_role |
author |
author2 |
Fernandes, Ana Gomes, Guida Neves, Mariana Abelha, António Vicente, Henrique |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Neves, José Fernandes, Ana Gomes, Guida Neves, Mariana Abelha, António Vicente, Henrique |
dc.subject.por.fl_str_mv |
International Standard ISO 9001 Knowledge Representation and Reasoning Logic Programming Artificial Neural Networks |
topic |
International Standard ISO 9001 Knowledge Representation and Reasoning Logic Programming Artificial Neural Networks |
description |
ISO 9001 is recognized as a Quality Management Systems standard, i.e., it is the primary phase of a process of constant enhancement that will provide an organisation with the necessary management tools to improve working practices. Indeed, it provides a framework and a set of principles aimed at ensuring a common sense approach to the management of an organization in order to consistently satisfy customers and other stakeholders. Therefore, and in order to add value to ISO 9001, this work focuses on the development of a decision support system, which will allow companies to be able to meet the needs of customers by fulfilling requirements that reflect either the effectiveness or the non-effectiveness of an organization. The procedures for knowledge representation and reasoning used are based on an extension to the Logic Programming language, allowing the handling of incomplete, contradictory and even forbidden data, information and/or knowledge. The computational framework is centred on Artificial Neural Networks to evaluate customer’s satisfaction and the degree of confidence that one has on such a happening. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-08-11T14:20:27Z 2015-08-11 2015-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/14889 http://hdl.handle.net/10174/14889 https://doi.org/10.5220/0005328904210428 |
url |
http://hdl.handle.net/10174/14889 https://doi.org/10.5220/0005328904210428 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Neves, J., Fernandes, A., Gomes G., Neves, M., Abelha A. & Vicente, H., International Standard ISO 9001 - An Artificial Intelligence View. In S. Hammoudi, L. Maciaszek & E. Teniente Eds., Proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS 2015), Vol. I, pp. 421-428, Scitepress – Science and Technology Publications, Lisbon, 2015. 978-989-758-096-3 http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005328904210428 I DQUI jneves@di.uminho.pt anavilafernades@gmail.com mguida.mgomes@gmail.com maneves@deloitte.co.uk abelha@di.uminho.pt hvicente@uevora.pt Proceedings of the 17th International Conference on Enterprise Information Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Scitepress - Science and Technology Publications |
publisher.none.fl_str_mv |
Scitepress - Science and Technology Publications |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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