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

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dc.contributor.author Wu, F
dc.contributor.author Lu, J
dc.contributor.author Zhang, G
dc.date.accessioned 2009-12-21T02:27:53Z
dc.date.issued 2006-03-01
dc.identifier.citation Applied Mathematics and Computation, 2006, 174 (1), pp. 524 - 544
dc.identifier.issn 0096-3003
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 assigned by experts. In most real situations, the possible values of these parameters are imprecisely or ambiguously known to the experts. Therefore, it would be more appropriate for these parameters to be represented as fuzzy numerical data that can be represented by fuzzy numbers. In this paper, a new approximate algorithm is developed for solving fuzzy multiple objective linear programming (FMOLP) problems involving fuzzy parameters in any form of membership functions in both objective functions and constraints. A detailed description and analysis of the algorithm are supplied. In addition, an example is given to illustrate the approximate algorithm. © 2005 Elsevier Inc. All rights reserved.
dc.language eng
dc.relation.isbasedon 10.1016/j.amc.2005.04.106
dc.subject Approximate algorithm, Decision support technology, Fuzzy multiple objective linear programming, Optimization, optimization, decision support technology, fuzzy multiple objective linear programming, approximate algorithm, Numerical & Computational Mathematics
dc.subject Approximate algorithm; Decision support technology; Fuzzy multiple objective linear programming; Optimization; optimization; decision support technology; fuzzy multiple objective linear programming; approximate algorithm; Numerical & Computational Mathematics
dc.title A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters
dc.type Journal Article
dc.parent Applied Mathematics and Computation
dc.journal.volume 1
dc.journal.volume 174
dc.journal.number 1 en_US
dc.publocation New York, USA en_US
dc.publocation Cheltenham, GL, UK
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 Operations Research
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.edition 1
dc.description.keywords optimization; decision support technology; fuzzy multiple objective linear programming; approximate algorithm en_US
dc.description.keywords management practice
dc.description.keywords popular culture
dc.description.keywords narrative
dc.description.keywords optimization
dc.description.keywords decision support technology
dc.description.keywords fuzzy multiple objective linear programming
dc.description.keywords approximate algorithm
dc.description.keywords optimization
dc.description.keywords decision support technology
dc.description.keywords fuzzy multiple objective linear programming
dc.description.keywords approximate algorithm
dc.description.keywords Approximate algorithm
dc.description.keywords Decision support technology
dc.description.keywords Fuzzy multiple objective linear programming
dc.description.keywords Optimization
dc.description.keywords Approximate algorithm
dc.description.keywords Decision support technology
dc.description.keywords Fuzzy multiple objective linear programming
dc.description.keywords Optimization
dc.staffid 020014 en_US
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


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