Fuzzy multi-objective bilevel decision making by an approximation K th-best approach

Lu, J; Zhang, G; Dillon, T

Fuzzy multi-objective bilevel decision making by an approximation K th-best approach

Lu, J

Zhang, G

Dillon, T

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Publication Type:: Journal Article
Citation:: Journal of Multiple-Valued Logic and Soft Computing, 2008, 14 (3-5), pp. 205 - 232
Issue Date:: 2008-02-11

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Field	Value	Language
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Dillon, T	en_US
dc.date.issued	2008-02-11	en_US
dc.identifier.citation	Journal of Multiple-Valued Logic and Soft Computing, 2008, 14 (3-5), pp. 205 - 232	en_US
dc.identifier.issn	1542-3980	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9052
dc.description.abstract	Many industrial decisions problems are decentralized in which decision makers are arranged at two levels, called bilevel decision problems. Bilevel decision making may involve uncertain parameters which appear either in the objective functions or constraints of the leader or the follower or both. Furthermore, the leader and the follower may have multiple conflict decision objectives that should be optimized simultaneously. This study proposes an approximation K th-best approach to solve the fuzzy multiobjective bilevel problem. Two case based examples further illustrate how to use the approach to solve industrial decision problems. © 2008 Old City Publishing. Inc.	en_US
dc.relation.ispartof	Journal of Multiple-Valued Logic and Soft Computing	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Fuzzy multi-objective bilevel decision making by an approximation K th-best approach	en_US
dc.type	Journal Article
utslib.citation.volume	3-5	en_US
utslib.citation.volume	14	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0102 Applied Mathematics	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.issue	3-5	en_US
pubs.publication-status	Published	en_US
pubs.volume	14	en_US

Abstract:

Many industrial decisions problems are decentralized in which decision makers are arranged at two levels, called bilevel decision problems. Bilevel decision making may involve uncertain parameters which appear either in the objective functions or constraints of the leader or the follower or both. Furthermore, the leader and the follower may have multiple conflict decision objectives that should be optimized simultaneously. This study proposes an approximation K th-best approach to solve the fuzzy multiobjective bilevel problem. Two case based examples further illustrate how to use the approach to solve industrial decision problems. © 2008 Old City Publishing. Inc.

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http://hdl.handle.net/10453/9052