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

fYear

2008

fDate

1-6 June 2008

Firstpage

1452

Lastpage

1457

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on

Conference_Location

Hong Kong

ISSN

1098-7584

Print_ISBN

978-1-4244-1818-3

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2008.4630563

Filename

4630563