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dc.contributor.authorBorrajo Diz, María Lourdes
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorDe Paz, Juan F. 
dc.date.accessioned2017-09-06T09:14:11Z
dc.date.available2017-09-06T09:14:11Z
dc.date.issued2012
dc.identifier.citationTrends in Practical Applications of Agents and Multiagent Systems Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 157, pp. 49-56.
dc.identifier.isbn978-3-642-28794-7 (Print) / 978-3-642-28795-4 (Online)
dc.identifier.issn1867-5662 (Print) / 1867-5670 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134851
dc.description.abstractKnowledge management has gained relevance during the last years to improve business functioning. However, there is still a growing need of developing innovative tools that can help small to medium sized enterprises to detect and predict undesired situations. This article present a multi-agent system aimed at detecting risky situations. The multi-agent system incorporates models for reasoning and makes predictions using case-based reasoning. The models are used to detect risky situations and an providing decision support facilities. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.subjectComputer Science
dc.titleImproving Production in Small and Medium Enterprises
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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