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    National Tsing Hua University Institutional Repository > 原子科學院  > 工程與系統科學系 > 會議論文  >  Application of Fuzzy Theory in the Analysis of Human Error Probability

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/46989

    Title: Application of Fuzzy Theory in the Analysis of Human Error Probability
    Authors: Cheng, Chih-Ching;Lee, Min
    教師: 李敏
    Date: 1999
    Publisher: Proceedings of the Third ROC Symposium on Reliability and Maintainability
    Relation: Third ROC Symposium on Reliability and Maintainability
    Keywords: Human Reliability
    Neural Network
    Human Cognitive Reliability Model
    Fuzzy Theory
    Abstract: In the probabilistic Safety Assessment (PSA), probabilistic, statistic, and reliability theory are used to evaluate the risk of nuclear power plant and other large complex production facility. The results of PSA can be used to evaluate the relative importance of subsystems, component, and human actions to the risk of the facility. These importance measures provide a guidance to improve the system design, to allocate the maintenance resources, to plan the training activities. Human reliability analysis plays an important role in the PSA. In this paper, a software based on the Human Cognitive Reliability (HCR) model was developed to predict human error probabilistic. In the software, the performance shaping factor required in the HCR model is determined using fuzzy theory. The data embedded in HCR model is used to generate the human error probability using neural network technique. The export judgements are implemented in the software to simplify the human reliability analysis. This model is validated using human error data from the simulator of a nuclear power plant.
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/46989
    Appears in Collections:[工程與系統科學系] 會議論文

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