Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach

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dc.contributor.author Lu, J
dc.contributor.author Zhang, G
dc.contributor.author Dillon, TS
dc.date.accessioned 2010-05-28T09:47:09Z
dc.date.issued 2007-01
dc.identifier.citation Journal of Multiple-Valued Logic and Soft Computing, 2007, 14 pp. 205 - 232
dc.identifier.issn 1023-6627
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/9052
dc.description.abstract Many industrial decisions problems are decentralized in which decision makers are arranged at two levels, called bilevel decision problems. Bilevel decision making may involve uncertain parameters which appear either in the objective functions or constraints of the leader or the follower or both. Furthermore, the leader and the follower may have multiple conflict decision objectives that should be optimized simultaneously. This study proposes an approximation Kth-best approach to solve the fuzzy multi-objective bilevel problem. Two case based examples further illustrate how to use the approach to solve industrial decision problems.
dc.publisher OLD City Publishing
dc.title Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach
dc.type Journal Article
dc.parent Journal of Multiple-Valued Logic and Soft Computing
dc.journal.volume 14
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 205 en_US
dc.identifier.endpage 232 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.for 0803 Computer Software
dc.personcode 001038
dc.personcode 020014
dc.personcode 030567
dc.percentage 50 en_US
dc.classification.name Computer Software en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US
dc.description.keywords bilevel programming; fuzzy sets; optimization; multi-objective decision making; fuzzy programming; Kth-best approach en_US
dc.description.keywords bilevel programming
dc.description.keywords fuzzy sets
dc.description.keywords optimization
dc.description.keywords multi-objective decision making
dc.description.keywords fuzzy programming
dc.description.keywords Kth-best approach
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/Faculty of Engineering and Information Technology/School of Software
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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