A Particle Swarm Optimization based Algorithm for Fuzzy Bilevel Decision Making

Publication Type:
Conference Proceeding
WCCI 2008 Proceedings: Proceedings of the IEEE Conference on Fuzzy Systems, 2008, pp. 1452 - 1457
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2008000041.pdf493.87 kB
Adobe PDF
Bilevel decision techniques are developed for decentralized planning problems with decision makers located in a two-level system. This study develops a particle swarm optimization based algorithm to solve fuzzy linear bilevel (FLBL) decision problems. A main advantage of this algorithm is that the optimization technique is adopted directly on FLBL problems by fully considering the original information carried by the fuzzy parameters, thus minimizing information loss. Experiments reveal that this algorithm can effectively solve the fuzzy linear bilevel decision problems.
Please use this identifier to cite or link to this item: