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dc.contributor.authorLaura Daniela Acosta Contreras
dc.contributor.authorAndrés Ricardo Barreto López
dc.contributor.authorCarlos Enrique Montenegro Marín
dc.contributor.authorPaulo Alonso Gaona García
dc.contributor.otherUniversidad Distrital Francisco José de Caldas
dc.contributor.otherUniversidad Distrital Francisco José de Caldas
dc.contributor.otherUniversidad Distrital Francisco José de Caldas
dc.contributor.otherUniversidad Distrital Francisco José de Caldas
dc.date.accessioned2025-10-09T05:26:59Z
dc.date.available2025-10-09T05:26:59Z
dc.date.issued01-04-2018
dc.identifier.urihttps://journal.ean.edu.co/index.php/Revista/article/view/1921
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/41027
dc.description.abstractThis article aims at showing the first functional approximation to the creation of a mechanism which generates a viability indicator of of a producto r a business plan base don the design of Canvas Model as well as using Emis Benchmarking Score as a referential issue suggested by Euromoney Institutional Inversor Company (EMIS), an organization which reveals company financial information. This approximation focuses on the application of fuzzy logic as a tool for analyzing and generating this indicator. Based on the data and information generated by a fuzzy stated system and experimental figures, a Pearson correlation coefficient was used to measure this behavioral model, resulting in 88 % which
dc.language.isoES
dc.publisherUniversidad EAN
dc.subject.lccCommerce
dc.titleTowards the construction of a mechanism supported in fuzzy logic to evaluate the viability of businesses under the canvas model
dc.typeArticle
dc.description.keywordsLógica difusa
dc.description.keywordsModelos de negocio
dc.description.keywordsEstudios de factibilidad
dc.description.keywordsCorrelación (Estadística)
dc.description.doi10.21158/01208160.n84.2018.1921
dc.title.journalRevista Escuela de Administracion de Negocios
dc.identifier.e-issn2590-521X
dc.identifier.oaioai:doaj.org/journal:12c62f1b7b3f40e4af4deefb4bf724db


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