Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach
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. Fu...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Old City Publishing
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/45003 |
| _version_ | 1848757161057845248 |
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| author | Lu, J. Zhang, G. Dillon, Tharam S. |
| author_facet | Lu, J. Zhang, G. Dillon, Tharam S. |
| author_sort | Lu, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T09:23:41Z |
| format | Journal Article |
| id | curtin-20.500.11937-45003 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:23:41Z |
| publishDate | 2008 |
| publisher | Old City Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-450032017-03-08T13:31:47Z Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach Lu, J. Zhang, G. Dillon, Tharam S. 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. 2008 Journal Article http://hdl.handle.net/20.500.11937/45003 Old City Publishing fulltext |
| spellingShingle | Lu, J. Zhang, G. Dillon, Tharam S. Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach |
| title | Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach |
| title_full | Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach |
| title_fullStr | Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach |
| title_full_unstemmed | Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach |
| title_short | Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach |
| title_sort | fuzzy multi-objective bilevel decision making by an approximation kth-best approach |
| url | http://hdl.handle.net/20.500.11937/45003 |