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

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dc.contributor.author Lu, J
dc.contributor.author Wu, F
dc.contributor.author Zhang, G
dc.date.accessioned 2009-12-21T02:28:02Z
dc.date.issued 2007
dc.identifier.citation Journal of Intelligent and Fuzzy Systems, 2007, 18 (1), pp. 83 - 97
dc.identifier.issn 1064-1246
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 α 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. © 2007 - IOS Press and the authors. All rights reserved.
dc.language eng
dc.relation.hasversion Accepted manuscript version en_US
dc.title On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems
dc.type Journal Article
dc.rights.holder IOS Press and the authors. All rights reserved
dc.parent Journal of Intelligent and Fuzzy Systems
dc.journal.volume 1
dc.journal.volume 18
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 Expert Systems
dc.personcode 001038
dc.personcode 020014
dc.personcode 994932
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.description.keywords optimization
dc.description.keywords fuzzy programming
dc.description.keywords multi-objective linear programming
dc.description.keywords interactive decision-making method
dc.description.keywords Fuzzy programming
dc.description.keywords Interactive decision-making method
dc.description.keywords Multi-objective linear programming
dc.description.keywords Optimization
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)


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