A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Constraints-shared Followers

Publisher:
ACM
Publication Type:
Conference Proceeding
Citation:
Proceedings of the 2009 ACM Symposium on Applied Computing, 2009, pp. 1075 - 1079
Issue Date:
2009-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2009001706OK.pdf591.81 kB
Adobe PDF
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 , 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.
Please use this identifier to cite or link to this item: