A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers

Authors:
Ya Gao;Guangquan Zhang;Jie Lu
Affiliations:
University of Technology, Sydney, NSW, Australia;University of Technology, Sydney, NSW, Australia;University of Technology, Sydney, NSW, Australia
Venue:
Proceedings of the 2009 ACM symposium on Applied Computing
Year:
2009

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Abstract

In a bilevel decision problem, decision making may involve multiple followers and fuzzy demands. This research focuses on the problem of fuzzy linear bilevel decision making with multiple followers who share common constraints (FBCSF). Based on the ranking relationship among fuzzy sets defined by cut set and satisfactory degree α, a FBCSF model is presented and a particle swarm optimization based algorithm is developed. The experiments reveal that solutions obtained by this algorithm are reasonable and stable.