An approximation branch-and-bound algorithm for fuzzy bilevel decision making problems

Zhang, G; Lu, J; Dillon, T

An approximation branch-and-bound algorithm for fuzzy bilevel decision making problems

Zhang, G

Lu, J

Dillon, T

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT, 2006, 1 pp. 223 - 231
Issue Date:: 2006-12-01

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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	Dillon, T	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT, 2006, 1 pp. 223 - 231	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6887
dc.description.abstract	Organizational decision making often involves two decision levels. When the leader at the upper level attempts to optimize his/her objective, the follower at the lower level tries to find an optimized strategy according to each of possible decisions made by the leader. Furthermore, such bilevel decision making may involve uncertain parameters which appear either in the objective functions or constraints of the leader or the follower. Following our previous work on fuzzy bilevel decision making, this study proposes a solution concept and related theorems for general- fuzzy-number based fuzzy parameter bilevel programming problems. It then develops an approximation Branch-and-bound algorithm to solve the proposed problem. © 2006 PIPS.	en_US
dc.relation.ispartof	Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT	en_US
dc.title	An approximation branch-and-bound algorithm for fuzzy bilevel decision making problems	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	0804 Data Format	en_US
dc.location.activity	Wisla, Poland	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/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

Organizational decision making often involves two decision levels. When the leader at the upper level attempts to optimize his/her objective, the follower at the lower level tries to find an optimized strategy according to each of possible decisions made by the leader. Furthermore, such bilevel decision making may involve uncertain parameters which appear either in the objective functions or constraints of the leader or the follower. Following our previous work on fuzzy bilevel decision making, this study proposes a solution concept and related theorems for general- fuzzy-number based fuzzy parameter bilevel programming problems. It then develops an approximation Branch-and-bound algorithm to solve the proposed problem. © 2006 PIPS.

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http://hdl.handle.net/10453/6887