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A Fuzzy Set-Based Approach to Multi-objective Multi-item Solid Transportation Problem Under Uncertainty

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dc.contributor.authorDalman, Hasan
dc.contributor.authorGuzel, Nuran
dc.contributor.authorSivri, Mustafa
dc.date.accessioned2026-06-27T13:53:34Z
dc.date.issued2016
dc.description.abstractIn this paper, a multi-objective multi-item solid transportation problem (MOMISTP) with parameters, e.g., transportation costs, supplies, and demands, as trapezoidal fuzzy variables is formulated. In this MOMISTP, there are limitations on some items and conveyances so that some special items cannot be carried by means of some special conveyances. With the use of the nearest interval approximation of trapezoidal fuzzy numbers, an interval programming model is constructed for the fuzzy MOMISTP and then this model is turned into its deterministic form. Then, a new interval fuzzy programming approach is developed to obtain the optimal solution of the problem. Finally, a numerical example is presented for illustration.en
dc.description.urihttps://doi.org/10.1007/s40815-015-0081-9
dc.identifier.doi10.1007/s40815-015-0081-9
dc.identifier.eissn2199-3211
dc.identifier.endpage729
dc.identifier.issn1562-2479
dc.identifier.issue4
dc.identifier.startpage716
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55367
dc.identifier.volume18
dc.identifier.wos000380702200015
dc.language.isoeng
dc.publisherSPRINGER
dc.relation.ispartofINTERNATIONAL JOURNAL OF FUZZY SYSTEMS
dc.subjectMulti-objective multi-item solid transportation problem
dc.subjectFuzzy decision making
dc.subjectInterval programming
dc.subjectOrder relations
dc.subjectINTERVAL-COEFFICIENTS
dc.subjectPROGRAMMING APPROACH
dc.subjectGENETIC ALGORITHM
dc.subjectNUMBERS
dc.subjectOPTIMIZATION
dc.subjectCONSTRAINTS
dc.subjectPARAMETERS
dc.subjectVARIABLES
dc.subjectAutomation & Control Systems
dc.subjectComputer Science
dc.titleA Fuzzy Set-Based Approach to Multi-objective Multi-item Solid Transportation Problem Under Uncertainty
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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