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dc.contributor.authorLu, J.
dc.contributor.authorZhang, G.
dc.contributor.authorDillon, Tharam S.
dc.date.accessioned2017-01-30T15:17:44Z
dc.date.available2017-01-30T15:17:44Z
dc.date.created2009-05-14T02:16:58Z
dc.date.issued2008
dc.identifier.citationLu, Jie and Zhang, Guangquan and Dillon, Tharam. 2008. Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach. Journal of Multiple-Valued Logic and Soft Computing. 14 (3-5): pp. 205-232.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/45003
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 multi-objective bilevel problem. Two case based examples further illustrate how to use the approach to solve industrial decision problems.

dc.publisherOld City Publishing
dc.titleFuzzy multi-objective bilevel decision making by an approximation Kth-best approach
dc.typeJournal Article
dcterms.source.volume14
dcterms.source.number3-5
dcterms.source.startPage205
dcterms.source.endPage232
dcterms.source.issn15423980
dcterms.source.titleJournal of Multiple-Valued Logic and Soft Computing
curtin.note

The article was published in the Journal of Multiple-Valued Logic and Soft Computing, 2008, Vol. 14 (3-5): pp. 205-232.

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Centre for Extended Enterprises and Business Intelligence (CEEBI)


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