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dc.contributor.authorPuente Águeda, Cristinaes-ES
dc.date.accessioned2024-03-04T09:04:20Z
dc.date.available2024-03-04T09:04:20Z
dc.date.issued2011-10-01es_ES
dc.identifier.issn21740410es_ES
dc.identifier.urihttp://hdl.handle.net/11531/87458
dc.descriptionArtículos en revistases_ES
dc.description.abstract.es-ES
dc.description.abstractCausality is a fundamental notion in every field of science. Since the times of Aristotle, causal relationships have been a matter of study as a way to generate knowledge and provide for explanations. In this paper I review the notion of causality through different scientific areas such as physics, biology, engineering, etc. In the scientific area, causality is usually seen as a precise relation: the same cause provokes always the same effect. But in the everyday world, the links between cause and effect are frequently imprecise or imperfect in nature. Fuzzy logic offers an adequate framework for dealing with imperfect causality, so a few notions of fuzzy causality are introduced.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightsCreative Commons Reconocimiento-NoComercial-SinObraDerivada Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.sourceRevista: Pensamiento Matemático, Periodo: 1, Volumen: , Número: 1, Página inicial: 1, Página final: 10es_ES
dc.titleCausality in Sciencees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywords.es-ES
dc.keywordsCausality, Causal Relationship, Soft Computing, Deduction.en-GB


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Creative Commons Reconocimiento-NoComercial-SinObraDerivada España
Except where otherwise noted, this item's license is described as Creative Commons Reconocimiento-NoComercial-SinObraDerivada España