Mostrar el registro sencillo del ítem

dc.contributor.authorPérez Cañedo, Boris
dc.contributor.authorVerdegay Galdeano, José Luis 
dc.contributor.authorConcepción Morales, Eduardo René
dc.contributor.authorRosete, Alejandro
dc.date.accessioned2020-12-11T10:43:03Z
dc.date.available2020-12-11T10:43:03Z
dc.date.issued2020-09-09
dc.identifier.citationPérez-Cañedo, B.; Verdegay, J.L.; Concepción-Morales, E.R.; Rosete, A. Lexicographic Methods for Fuzzy Linear Programming. Mathematics 2020, 8, 1540. [doi:10.3390/math8091540]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/64825
dc.description.abstractFuzzy Linear Programming (FLP) has addressed the increasing complexity of real-world decision-making problems that arise in uncertain and ever-changing environments since its introduction in the 1970s. Built upon the Fuzzy Sets theory and classical Linear Programming (LP) theory, FLP encompasses an extensive area of theoretical research and algorithmic development. Unlike classical LP, there is not a unique model for the FLP problem, since fuzziness can appear in the model components in different ways. Hence, despite fifty years of research, new formulations of FLP problems and solution methods are still being proposed. Among the existing formulations, those using fuzzy numbers (FNs) as parameters and/or decision variables for handling inexactness and vagueness in data have experienced a remarkable development in recent years. Here, a long-standing issue has been how to deal with FN-valued objective functions and with constraints whose left- and right-hand sides are FNs. The main objective of this paper is to present an updated review of advances in this particular area. Consequently, the paper briefly examines well-known models and methods for FLP, and expands on methods for fuzzy single- and multi-objective LP that use lexicographic criteria for ranking FNs. A lexicographic approach to the fuzzy linear assignment (FLA) problem is discussed in detail due to the theoretical and practical relevance. For this case, computer codes are provided that can be used to reproduce results presented in the paper and for practical applications. The paper demonstrates that FLP that is focused on lexicographic methods is an active area with promising research lines and practical implications.es_ES
dc.description.sponsorshipSpanish Ministry of Economy and Competitivenesses_ES
dc.description.sponsorshipEuropean Union (EU) TIN2017-86647-Pes_ES
dc.language.isoenges_ES
dc.publisherMdpies_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectFuzzy linear programminges_ES
dc.subjectFully fuzzy linear programminges_ES
dc.subjectFully fuzzy multi-objective linear programminges_ES
dc.subjectFuzzy linear assignment problemes_ES
dc.subjectFuzzy numberes_ES
dc.subjectFuzzy inequality constraintes_ES
dc.subjectLexicographic ranking criteriaes_ES
dc.titleLexicographic Methods for Fuzzy Linear Programminges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/math8091540
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


Ficheros en el ítem

[PDF]

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Atribución 3.0 España
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución 3.0 España