An extended kth-best approach for referential-uncooperative bilevel multi-follower decision making

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Show simple item record Zhang, G Shi, C Lu, J 2010-05-28T09:47:26Z 2008-08
dc.identifier.citation International Journal of Computational Intelligence Systems, 2008, 1 (3), pp. 205 - 214
dc.identifier.issn 1875-6891
dc.identifier.other C1 en_US
dc.description.abstract Bilevel decision techniques have been mainly developed for solving decentralized management problems with decision makers in a hierarchical organization. When multiple followers are involved in a bilevel decision problem, called a bilevel multi-follower (BLMF) decision problem, the leader's decision will be affected, not only by the reactions of these followers, but also by the relationships among these followers. The referential-uncooperative situation is one of the popular cases of BLMF decision problems where these multiple followers don't share decision variables with each other but may take others' decisions as references to their decisions. This paper presents a model for the referential-uncooperative BLMF decision problem. As the kth-best approach is one of the most successful approaches in dealing with normal bilevel decision problems, this paper then proposes an extended kth-best approach to solve the referential-uncooperative BLMF problem. Finally an example of logistics planning illustrates the application of the proposed extended kth-best approach.
dc.language eng
dc.relation.isbasedon 10.2991/ijcis.2008.1.3.2
dc.title An extended kth-best approach for referential-uncooperative bilevel multi-follower decision making
dc.type Journal Article
dc.parent International Journal of Computational Intelligence Systems
dc.journal.volume 3
dc.journal.volume 1
dc.journal.number 3 en_US
dc.publocation France en_US
dc.identifier.startpage 205 en_US
dc.identifier.endpage 214 en_US FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.for 080105 Expert Systems
dc.for 080605 Decision Support and Group Support Systems
dc.personcode 001038
dc.personcode 020014
dc.percentage 50 en_US Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords Bilevel programming, kth-best approach, Decision making, Optimization. en_US
dc.description.keywords Bilevel programming
dc.description.keywords Decision making
dc.description.keywords kth-Best approach
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 2015-04-15 12:23:47.074767+10
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history General (ID: 2)

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