A Particle Swarm Optimization based Algorithm for Fuzzy Bilevel Decision Making with Objective-shared Followers

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dc.contributor.author Gao, Y
dc.contributor.author Zhang, G
dc.contributor.author Lu, J
dc.contributor.editor al, XLE
dc.date.accessioned 2010-05-28T09:59:29Z
dc.date.issued 2008-01
dc.identifier.citation Simulated Evolution and Learning, 2008, pp. 190 - 199
dc.identifier.isbn 978-3-540-89693-7
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10779
dc.description.abstract A bilevel decision problem may have multiple followers as the lower decision units and have fuzzy demands simultaneously. This paper focuses on problems of fuzzy linear bilevel decision making with multiple followers who share a common objective but have different constraints (FBOSF). Based on the ranking relationship among fuzzy sets defined by cut set and satisfactory degree, a FBOSF model is presented and a particle swarm optimization based algorithm is developed.
dc.publisher Springer
dc.relation.isbasedon 10.1007/978-3-540-89694-4_20
dc.title A Particle Swarm Optimization based Algorithm for Fuzzy Bilevel Decision Making with Objective-shared Followers
dc.type Conference Proceeding
dc.parent Simulated Evolution and Learning
dc.journal.number en_US
dc.publocation Germany en_US
dc.publocation Germany
dc.publocation Germany
dc.publocation Germany
dc.publocation Germany
dc.identifier.startpage 190 en_US
dc.identifier.endpage 199 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference Asia-Pacific Conference on Simulated Evolution and Learning
dc.conference Asia-Pacific Conference on Simulated Evolution and Learning
dc.conference Asia-Pacific Conference on Simulated Evolution and Learning
dc.conference Asia-Pacific Conference on Simulated Evolution and Learning
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.for 080105 Expert Systems
dc.personcode 001038
dc.personcode 020014
dc.personcode 102497
dc.percentage 50 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Asia-Pacific Conference on Simulated Evolution and Learning en_US
dc.date.activity 20081207 en_US
dc.date.activity 2008-12-07
dc.date.activity 2008-12-07
dc.date.activity 2008-12-07
dc.date.activity 2008-12-07
dc.location.activity Melbourne, Australia en_US
dc.location.activity Melbourne, Australia
dc.location.activity Melbourne, Australia
dc.location.activity Melbourne, Australia
dc.location.activity Melbourne, Australia
dc.description.keywords en_US
dc.description.keywords Bilevel programming - bilevel multiple follower decision making - particle swarm optimization - fuzzy sets en_US
dc.description.keywords Bilevel programming - bilevel multiple follower decision making - particle swarm optimization - fuzzy sets
dc.description.keywords Bilevel programming - bilevel multiple follower decision making - particle swarm optimization - fuzzy sets
dc.description.keywords Bilevel programming - bilevel multiple follower decision making - particle swarm optimization - fuzzy sets
dc.description.keywords Bilevel programming - bilevel multiple follower decision making - particle swarm optimization - fuzzy sets
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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