An algorithm for fuzzy multi-objective multi-follower partial cooperative bilevel programming

Zhang, G; Lu, J; Gao, Y

An algorithm for fuzzy multi-objective multi-follower partial cooperative bilevel programming

Zhang, G

Lu, J

Gao, Y

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Publication Type:: Journal Article
Citation:: Journal of Intelligent and Fuzzy Systems, 2008, 19 (4-5), pp. 303 - 319
Issue Date:: 2008-11-10

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Field	Value	Language
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Gao, Y	en_US
dc.date.issued	2008-11-10	en_US
dc.identifier.citation	Journal of Intelligent and Fuzzy Systems, 2008, 19 (4-5), pp. 303 - 319	en_US
dc.identifier.issn	1064-1246	en_US
dc.identifier.uri	http://hdl.handle.net/10453/8943
dc.description.abstract	In a bilevel decision problem, both the leader and the follower may have multiple objectives to optimize under certain constraints. In the meantime, these objective functions and constraints may contain some uncertain parameters. In addition, there may have multiple followers involved in a bilevel decision problem. These followers may share their individual decision variables with each other but keep individual objectives in reacting any of the leader's decisions, which is a common situation in real bilevel decision activities. This study deals with all above three issues, fuzzy parameters, multi-objectives, and multi-followers in a partial cooperative situation, at the same time. After a set of models for describing different cases of the fuzzy multi-objective multi-follower bilevel programming with partial cooperation (FMMBP-PC) problem, this paper develops an approximation branch-and-bound algorithm to solve this problem.	en_US
dc.relation.ispartof	Journal of Intelligent and Fuzzy Systems	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	An algorithm for fuzzy multi-objective multi-follower partial cooperative bilevel programming	en_US
dc.type	Journal Article
utslib.citation.volume	4-5	en_US
utslib.citation.volume	19	en_US
utslib.for	1702 Cognitive Sciences	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	ISI:000260458700007	en_US
pubs.embargo.period	Not known	en_US
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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	4-5	en_US
pubs.publication-status	Published	en_US
pubs.volume	19	en_US

Abstract:

In a bilevel decision problem, both the leader and the follower may have multiple objectives to optimize under certain constraints. In the meantime, these objective functions and constraints may contain some uncertain parameters. In addition, there may have multiple followers involved in a bilevel decision problem. These followers may share their individual decision variables with each other but keep individual objectives in reacting any of the leader's decisions, which is a common situation in real bilevel decision activities. This study deals with all above three issues, fuzzy parameters, multi-objectives, and multi-followers in a partial cooperative situation, at the same time. After a set of models for describing different cases of the fuzzy multi-objective multi-follower bilevel programming with partial cooperation (FMMBP-PC) problem, this paper develops an approximation branch-and-bound algorithm to solve this problem.

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http://hdl.handle.net/10453/8943