A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers
- Publication Type:
- Conference Proceeding
- Proceedings of the ACM Symposium on Applied Computing, 2009, pp. 1075 - 1079
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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. Copyright 2009 ACM.
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