Title :
The application of equilibrium chances to fuzzy random dependent-chance programming
Author :
Liu, Yian-Kui ; Liu, Baoding
Author_Institution :
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
Abstract :
Using equilibrium chance measures, this paper presents a new version of fuzzy random dependent-chance programming models. Also, a fuzzy random simulation approach is designed for computing equilibrium chance of a fuzzy random event. At the end of this paper, we suggest a hybrid intelligent algorithm, which integrates fuzzy random simulation, neural network and genetic algorithm for solving fuzzy random dependent-chance programming models.
Keywords :
fuzzy control; fuzzy logic; genetic algorithms; neural nets; equilibrium chance measures; equilibrium chances; fuzzy random dependent-chance programming; fuzzy random event; fuzzy random simulation approach; genetic algorithm; hybrid intelligent algorithm; neural network; Computational modeling; Distribution functions; Fuzzy neural networks; Fuzzy set theory; Fuzzy systems; Intelligent networks; Mathematical model; Mathematical programming; Neural networks; Random variables;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1009025
