Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/14889

Title: International Standard ISO 9001 - An Artificial Intelligence View
Authors: Neves, José
Fernandes, Ana
Gomes, Guida
Neves, Mariana
Abelha, António
Vicente, Henrique
Editors: Hammoudi, Slimane
Maciaszek, Leszek
Teniente, Ernest
Keywords: International Standard ISO 9001
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
Issue Date: 2015
Publisher: Scitepress - Science and Technology Publications
Citation: 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.
Abstract: 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.
URI: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005328904210428
http://hdl.handle.net/10174/14889
ISBN: 978-989-758-096-3
Type: article
Appears in Collections:CQE - Artigos em Livros de Actas/Proceedings
QUI - Artigos em Livros de Actas/Proceedings

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