A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters

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dc.contributor.author Wu, Fengiie en_US
dc.contributor.author Lu, Jie en_US
dc.contributor.author Zhang, Guangquan en_US
dc.date.accessioned 2009-12-21T02:27:53Z
dc.date.available 2009-12-21T02:27:53Z
dc.date.issued 2006 en_US
dc.identifier 2006003942 en_US
dc.identifier.citation Wu Fengjie, Lu Jie, and Zhang Guangquan 2006, 'A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters', Elsevier Science Inc, vol. 174, no. 1, pp. 524-544. en_US
dc.identifier.issn 0096-3003 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/3387
dc.description.abstract Many business decision problems involve multiple objectives and can thus be described by multiple objective linear programming (MOLP) models. When a MOLP problem is being formulated, the parameters of objective functions and constraints are normally assi en_US
dc.publisher Elsevier Science Inc en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.amc.2005.04.106 en_US
dc.title A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters en_US
dc.parent Applied Mathematics And Computation en_US
dc.journal.volume 174 en_US
dc.journal.number 1 en_US
dc.publocation New York, USA en_US
dc.identifier.startpage 524 en_US
dc.identifier.endpage 544 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 010206 en_US
dc.personcode 994932 en_US
dc.personcode 001038 en_US
dc.personcode 020014 en_US
dc.percentage 100 en_US
dc.classification.name Operations Research en_US
dc.classification.type FOR-08 en_US
dc.description.keywords optimization; decision support technology; fuzzy multiple objective linear programming; approximate algorithm en_US
dc.staffid 020014 en_US


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