On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems

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dc.contributor.author Lu, Jie en_US
dc.contributor.author Wu, Fengiie en_US
dc.contributor.author Zhang, Guangquan en_US
dc.date.accessioned 2009-12-21T02:28:02Z
dc.date.available 2009-12-21T02:28:02Z
dc.date.issued 2007 en_US
dc.identifier 2006010569 en_US
dc.identifier.citation Lu Jie, Wu Fengjie, and Zhang Guangquan 2007, 'On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems', IOS Press, vol. 18, no. 1, pp. 83-97. en_US
dc.identifier.issn 1064-1246 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/3433
dc.description.abstract Many organizational decision problems can be formulated by multi-objective linear programming (MOLP) models. Referring to the imprecision inherent in human judgments, uncertainty may be incorporated in the parameters of an MOLP model when it is established, which is called a Fuzzy MOLP (FMOLP) problem. What is an optimal solution for an FMOLP problem is the first issue to deal with in this study. The second issue is how to effectively derive an optimal solution for an FMOLP problem since uncertainty is also reflected in a solution process of an FMOLP problem. By introducing three types of comparison of fuzzy numbers and an adjustable satisfactory degree alpha in this study, a new solution concept of FMOLP is given. For handling the second issue, this study develops an interactive fuzzy goal optimization method which provides an interactive fashion with decision makers during their solution process and allows decision makers to give their fuzzy goals in any forms of membership functions. An illustrative example gives the details of the solution concept and the proposed method. en_US
dc.publisher IOS Press en_US
dc.relation.hasversion Accepted manuscript version en_US
dc.title On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems en_US
dc.rights.holder IOS Press and the authors. All rights reserved
dc.parent Journal of Intelligent & Fuzzy Systems en_US
dc.journal.volume 18 en_US
dc.journal.number 1 en_US
dc.publocation Amsterdam, The Netherlands en_US
dc.identifier.startpage 83 en_US
dc.identifier.endpage 97 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 080105 en_US
dc.personcode 001038 en_US
dc.personcode 994932 en_US
dc.personcode 020014 en_US
dc.percentage 100 en_US
dc.classification.name Expert Systems en_US
dc.classification.type FOR-08 en_US
dc.description.keywords optimization; fuzzy programming; multi-objective linear programming; interactive decision-making method en_US
dc.staffid 020014 en_US


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