An extended branch-and-bound algorithm for fuzzy linear bilevel programming

Zhang, G; Lu, J; Dillon, T

An extended branch-and-bound algorithm for fuzzy linear bilevel programming

Zhang, G

Lu, J

Dillon, T

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Publication Type:: Conference Proceeding
Citation:: Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006, 2006, pp. 291 - 298
Issue Date:: 2006-01-01

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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	2006-01-01	en_US
dc.identifier.citation	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006, 2006, pp. 291 - 298	en_US
dc.identifier.isbn	9812566902	en_US
dc.identifier.isbn	9789812566904	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1973
dc.description.abstract	© 2006 by World Scientific Publishing Co. Pte. Ltd. This paper presents an extended Branch-and-Bound algorithm for solving fuzzy linear bilevel programming problems. In a fuzzy bilevel programming model, the leader attempts to optimize his/her fuzzy objective with a consideration of overall satisfaction, and the follower tries to find an optimized strategy, under himself fuzzy objective, according to each of possible decisions made by the leader. This paper first proposes a new solution concept for fuzzy linear bilevel programming. It then presents a fuzzy number based extended Branch-and-bound algorithm for solving fuzzy linear bilevel programming problems.	en_US
dc.relation.ispartof	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006	en_US
dc.relation.isbasedon	10.1142/9789812774118_0043	en_US
dc.title	An extended branch-and-bound algorithm for fuzzy linear bilevel programming	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Genova, Italy	en_US
dc.location.activity	Adelaide, Australia
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	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2006 by World Scientific Publishing Co. Pte. Ltd. This paper presents an extended Branch-and-Bound algorithm for solving fuzzy linear bilevel programming problems. In a fuzzy bilevel programming model, the leader attempts to optimize his/her fuzzy objective with a consideration of overall satisfaction, and the follower tries to find an optimized strategy, under himself fuzzy objective, according to each of possible decisions made by the leader. This paper first proposes a new solution concept for fuzzy linear bilevel programming. It then presents a fuzzy number based extended Branch-and-bound algorithm for solving fuzzy linear bilevel programming problems.

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http://hdl.handle.net/10453/1973