Fuzzy multi-objective bilevel decision making by an approximation Kth-best approach
MetadataShow full item record
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.
The article was published in the Journal of Multiple-Valued Logic and Soft Computing, 2008, Vol. 14 (3-5): pp. 205-232.
Showing items related by title, author, creator and subject.
Zhang, G.; Lu, J.; Dillon, Tharam S. (2007)Decisions in a decentralized organization often involve two levels. The leader at the upper level attempts to optimize his/her objective but is affected by the follower; the follower at the lower level tries to find an ...
Gao, Y.; Zhang, G.; Lu, J.; Dillon, Tharam S.; Zeng, X. (2008)Bilevel programming techniques a re developed for decentralised decision problems with decision makers located in two levels. Both upper and lower decision makers, termed as leader and follower, try to optimize their own ...
Bonnel, Henri; Morgan, J. (2012)We consider a bilevel optimal control problem where the upper level, to be solved by a leader, is a scalar optimal control problem, and the lower level, to be solved by several followers, is a multiobjective convex optimal ...