Title :
A particle swarm optimization based algorithm for fuzzy bilevel decision making
Author :
Gao, Ya ; Zhang, Guangquan ; Lu, Jie
Author_Institution :
Fac. of Inf. Technol., Univ. of Technol., Sydney, NSW
Abstract :
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.
Keywords :
artificial intelligence; decision making; fuzzy set theory; multivariable systems; particle swarm optimisation; decentralized planning problem; decision making; fuzzy linear bilevel decision problem; particle swarm optimization; Artificial intelligence; Birds; Consumer electronics; Decision making; Fuzzy sets; Fuzzy systems; Optimization methods; Particle swarm optimization; Power markets; Risk management; Artificial intelligence; Bilevel decision making; Fuzzy sets; Optimization; Particle swarm optimization;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630563
