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dc.contributor.authorLópez González, Enrique
dc.contributor.authorRodríguez-Fernández, M. Ángel
dc.contributor.authorMendaña Cuervo, Cristina
dc.date.accessioned2007-09-27T10:18:34Z
dc.date.available2007-09-27T10:18:34Z
dc.date.issued2000
dc.identifier.issn1134-5632
dc.identifier.urihttp://hdl.handle.net/2099/3579
dc.description.abstractThe logistics problems in business environments deal with assignation from a number of sources to a number of destinations. Each source offers amounts of goods, while each destination demands quantities of these goods. The object is to find the cheapest transporting schedule that satisfies the demand without violating supply restraints. In this paper we propose to use Fuzzy Sets to represents the previsional information related to costs, demands and other variables. Moreover, we suggest including the problem of shortest route for the distribution vehicles. Finally, to solve this complex problem we propose to use a Genetic Algorithm with a Fuzzy Fitness Function.
dc.format.extent229-241
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & soft computing . 2000 Vol. 7 Núm. 2 [ -3 ]
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherTransportation problem
dc.subject.otherShortest route problem
dc.subject.otherLogistic
dc.subject.otherMinimising costs
dc.subject.otherImprecise information
dc.subject.otherFuzzy sets
dc.subject.otherGenetic algorithms
dc.titleThe logistic decision making in management accounting with genetic algoritms and fuzzy sets
dc.typeArticle
dc.subject.lemacAlgorismes
dc.subject.lemacLogística (Indústria) -- Models matemàtics
dc.subject.amsClassificació AMS::68 Computer science::68W Algorithms
dc.rights.accessOpen Access


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