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首页> 外文期刊>Journal of Computers >Modeling and Decision Support for Analysis of Operator Errors in Complex Systems
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Modeling and Decision Support for Analysis of Operator Errors in Complex Systems

机译：复杂系统中运算符错误分析的建模与决策支持

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—A method of modeling human operator performance in complex systems, which is realized as a DSS, is presented. It allows to conduct a detailed analysis of an operator’s performance to observe the nature of his errors in the different stages of his control action: perception of a problem, motivation for solving it, the evaluation of variants of a solution; then, making a decision, and its implementation. The method provides a deeper analysis of underlying factors using the proposed frame descriptions for errors with logical, decision-making, and classification algorithms, as well as the results of psychological experiments. The specific feature of the suggested approach is that it presents the opportunity to logically analyze errors and their underlying factors in the process of collecting data on them, not by drawing conclusions from the investigation reports as the traditional approach. The advantages of using the decision support systems for working with large amounts of unstructured data, specifically in the process of identifying repeated errors and error-provoking situations, are demonstrated.
机译：-A在复杂系统中建模人力操作员性能的方法，其被呈现为DSS的复杂系统。它允许对操作员的性能进行详细分析，以观察他控制行动的不同阶段的错误的性质：对问题的看法，解决方案的动机，溶液变体的评估;然后，作出决定，实现。该方法利用所提出的帧描述为具有逻辑，决策和分类算法的误差以及心理实验的结果，提供了对潜在因素的更深分析。建议的方法的具体特征是，它呈现有机会在逻辑上分析错误及其潜在因素，并通过将调查报告的结论作为传统方法来绘制的结论。使用决策支持系统的优点，用于处理大量非结构化数据，具体在识别重复误差和错误激发情况的过程中。

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