Title :
Fuzzy random dependent-chance programming
Author_Institution :
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
fDate :
10/1/2001 12:00:00 AM
Abstract :
This paper presents the concepts of uncertain environment, event, chance function and principle of uncertainty for fuzzy random decision systems, thus offering a theoretical framework of fuzzy random dependent-chance programming. A hybrid intelligent algorithm is applied to solving fuzzy random dependent-chance programming models. Some numerical examples are also provided to illustrate the effectiveness of hybrid intelligent algorithm
Keywords :
fuzzy set theory; genetic algorithms; neural nets; random processes; stochastic programming; fuzzy programming; fuzzy random dependent-chance programming; genetic algorithm; hybrid intelligent algorithm; neural network; simulation; stochastic programming; Functional programming; Fuzzy sets; Fuzzy systems; Genetic algorithms; Intelligent networks; Linear programming; Neural networks; Random variables; Stochastic processes; Uncertainty;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
