@inproceedings{0ac49eeec267436f996390bd03dea900,
title = "SPSA algorithm for fuzzy random time inspection policy",
abstract = "The time inspection policy is one of the most common maintenance policies. In this paper, a time inspection policy is studied in which the lifetimes of components are treated as fuzzy random variables. The concept of the long-run expected cost per unit time is put forward. In order to minimize the long- run expected cost per unit time, a fuzzy random expected value model is established. The fuzzy random simulation technique is employed to estimate the value of the objective function and the simultaneous perturbation stochastic approximation (SPSA) algorithm is employed to search the optimal solution. Finally, a numerical example is presented to illustrate the effectiveness of the algorithm.",
keywords = "Fuzzy random simulation, Fuzzy random variable, Fuzzy variable, Maintenance policy, SPSA algorithm",
author = "Song Xu and Qin, \{Zhong Feng\} and Xia Zhang",
year = "2005",
doi = "10.1109/ICMLC.2005.1527388",
language = "英语",
isbn = "078039092X",
series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
publisher = "IEEE Computer Society",
pages = "2628--2633",
booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
address = "美国",
note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",
}