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

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Show simple item record Zhang, Guangquan en_US Shi, Chenggen en_US Lu, Jie en_US
dc.contributor.editor en_US 2010-05-28T09:47:26Z 2010-05-28T09:47:26Z 2008 en_US
dc.identifier 2008001074 en_US
dc.identifier.citation Zhang Guangquan, Shi Chenggen, and Lu Jie 2008, 'An extended K-best approach for referential-uncooperative bilevel multi-follower decision making', Atlantis Press, vol. 1, no. 3, pp. 205-214. en_US
dc.identifier.issn 1875-6891 en_US
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 leadera??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 dona??t share decision variables with each other but may take othersa?? 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. en_US
dc.language en_US
dc.publisher Atlantis Press en_US
dc.relation.isbasedon en_US
dc.title An extended Kth-best approach for referential-uncooperative bilevel multi-follower decision making en_US
dc.parent International Journal of Computational Intelligence Systems en_US
dc.journal.volume 1 en_US
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 en_US
dc.personcode 020014 en_US
dc.personcode 02014710 en_US
dc.personcode 001038 en_US
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.staffid en_US
dc.staffid 001038 en_US

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