An approximation Kuhn-Tucker approach for fuzzy linear bilevel decision making

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dc.contributor.author Zhang, G
dc.contributor.author Lu, J
dc.contributor.author Dillon, TS
dc.contributor.editor Jain, L
dc.contributor.editor Wren, G
dc.date.accessioned 2010-05-28T09:38:15Z
dc.date.issued 2008-01
dc.identifier.citation Intelligent Decision Making, 2008, 1, pp. 157 - 171
dc.identifier.isbn 978-3-540-76828-9
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/7856
dc.description.abstract In bilevel decision making, the leader aims to achieve an optimal solution by considering the follower's optimized strategy to react each of his/her possible decisions. In a real-world bilevel decision environment, uncertainty must be considered when modeling the objective functions and constraints of the leader and the follower. Following our previous work, this chapter proposes a fuzzy bilevel decision making model to describe bilevel decision making under uncertainty. After giving the definitions of optimal solutions and related theorems for fuzzy bilevel decision problems this chapter develops an approximation KuhnTucker approach to solve the problem. Finally, an example of reverse logistics management illustrates the application of this proposed fuzzy bilevel decision making approach.
dc.publisher Springer
dc.relation.isbasedon 10.1007/978-3-540-76829-6_6
dc.title An approximation Kuhn-Tucker approach for fuzzy linear bilevel decision making
dc.type Chapter
dc.parent Intelligent Decision Making
dc.journal.number en_US
dc.publocation The Netherlands en_US
dc.identifier.startpage 157 en_US
dc.identifier.endpage 171 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.personcode 001038
dc.personcode 020014
dc.personcode 030567
dc.percentage 100 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA 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/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 Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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