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Comparing operation points in linear programming with fuzzy constraints

dc.contributor.authorFigueroa-García J.C.
dc.contributor.authorHernández-Pérez G.
dc.contributor.authorKalenatic D.
dc.date.accessioned2024-05-23T13:29:44Z
dc.date.available2024-05-23T13:29:44Z
dc.date.issued2018
dc.identifier.citationFigueroa-García, J.C., Hernández-Pérez, G., Kalenatic, D. Comparing operation points in linear programming with fuzzy constraints (2018) Studies in Systems, Decision and Control, 100, pp. 55-66.es_CO
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85029232159&doi=10.1007%2f978-3-319-61753-4_9&partnerID=40&md5=ed8ae319a6cc8728965aebd11f0eacf4
dc.identifier.urihttp://hdl.handle.net/10818/60176
dc.description11 páginases_CO
dc.description.abstractLinear programming with fuzzy constraints is a well known approach to model uncertainty in optimization problems. However, in practical applications there is no certainty of implementing optimal solutions given by fuzzy optimization models, so in many cases the problem has to be solved using crisp available information. In this chapter, we provide a mathematical framework for comparing optimal to crisp solutions of a linear programming problem under fuzzy constraints. © Springer International Publishing AG 2018.en
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherStudies in Systems, Decision and Controles_CO
dc.relation.ispartofseriesStudies in Systems, Decision and Control Vol. 100 p. 55-66
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceUniversidad de La Sabanaes_CO
dc.sourceIntellectum Repositorio Universidad de La Sabanaes_CO
dc.titleComparing operation points in linear programming with fuzzy constraintsen
dc.typebook partes_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi10.1007/978-3-319-61753-4_9


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