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A mixed integer programming approach to a square fully fuzzy linear equation

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dc.contributor.authorAhlatcioglu, Mehmet
dc.contributor.authorAlbayrak, Inci
dc.contributor.authorKocken, Hale Gonce
dc.contributor.authorOzkok, Beyza Ahlatcioglu
dc.date.accessioned2026-06-27T13:54:00Z
dc.date.issued2016
dc.description.abstractIn this paper, a new method is proposed to find the feasible (strong) fuzzy solution of a square (n x n) fully fuzzy linear equation system (FFLS) with triangular fuzzy numbers. The main purpose of the proposed method is to remove all the sign restrictions on the parameters and variables. Our method, which is based on the multiplication of two arbitrary triangular fuzzy numbers, converts the FFLS to a mixed integer programming problem. The method is illustrated with numerical examples.en
dc.description.sponsorshipOffice of Scientific Research Project Coordination in Yildiz Technical University [2013-07-03-GEP01]
dc.description.urihttps://doi.org/10.3233/jifs-16227
dc.identifier.doi10.3233/jifs-16227
dc.identifier.eissn1875-8967
dc.identifier.endpage2015
dc.identifier.issn1064-1246
dc.identifier.issue3
dc.identifier.startpage2009
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55457
dc.identifier.volume31
dc.identifier.wos000382540000076
dc.language.isoeng
dc.publisherIOS PRESS
dc.relation.ispartofJOURNAL OF INTELLIGENT & FUZZY SYSTEMS
dc.subjectLinear equation system
dc.subjectfuzzy number
dc.subjectfuzzy decision making
dc.subjectmixed integer programming
dc.subjectSYSTEM
dc.subjectDECOMPOSITION
dc.subjectComputer Science
dc.titleA mixed integer programming approach to a square fully fuzzy linear equation
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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