| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9662421 | Computers & Mathematics with Applications | 2005 | 10 Pages |
Abstract
In order to model fuzzy decentralized decision-making problem, fuzzy expected value multilevel programming and chance-constrained multilevel programming are introduced. Furthermore, fuzzy simulation, neural network, and genetic algorithm are integrated to produce a hybrid intelligent algorithm for finding the Stackelberg-Nash equilibrium. Finally, two numerical examples are provided to illustrate the effectiveness of the hybrid intelligent algorithm.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Jinwu Gao, Baoding Liu,