Decentralized multi-objective bilevel decision making with fuzzy demands
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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 optimized strategy according to each of possible decisions made by the leader. When model a real-world bilevel decision problem, it also may involve fuzzy demands which appear either in the parameters of objective functions or constraints of the leader or the follower or both. Furthermore, the leader and the follower may have multiple conflict objectives that should be optimized simultaneously in achieving a solution. This study addresses both fuzzy demands and multi-objective issues and propose a fuzzy multi-objective bilevel programming model. It then develops an approximation branch-and-bound algorithm to solve multi-objective bilevel decision problems with fuzzy demands. Finally, two case-based examples further illustrate the proposed model and algorithm.
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Lu, J.; Zhang, G.; Dillon, Tharam S. (2008)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 ...
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 ...