Title :
Redundancy optimization problems with fuzzy random lifetimes
Author :
Zhao, Ruiqing ; Song, Kaoping ; Zhu, Jianhua
Author_Institution :
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
fDate :
6/23/1905 12:00:00 AM
Abstract :
By using fuzzy random lifetimes as basic variables, three types of system performances-expected system lifetime, (α,β)-system lifetime and system reliability-evaluated by fuzzy random theory are presented respectively. Some fuzzy random simulations are designed to estimate these system performances. Further, a spectrum of redundancy optimization models are constructed. In order to solve the proposed models, a hybrid intelligent algorithm is designed. Finally, a multistage system is provided for the sake of illustration
Keywords :
fuzzy set theory; genetic algorithms; neural nets; redundancy; reliability theory; stochastic programming; (α,β)-system lifetime; expected system lifetime; fuzzy programming; fuzzy random lifetimes; fuzzy random theory; genetic algorithm; hybrid intelligent algorithm; multistage system; neural network; redundancy optimization problems; stochastic programming; system reliability; Algorithm design and analysis; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Performance evaluation; Random variables; Redundancy; Reliability; Stochastic systems;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007305
