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Application of Models of Relational Fuzzy Cognitive Maps for Prediction of Work of Complex Systems

机译:应用关系模糊认知地图模型在复杂系统工作预测中的应用

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The paper presents certain aspects of application of model of the Relational Fuzzy Cognitive Map (RFCM) for advanced analysis of activity of complex dynamic systems. Intelligent models, including various types of cognitive maps, are commonly used to study the effect of the selected parameter on the others or to classification of objects described by many parameters. RFCM model characteristics, in addition to the above uses, allows to use it also for modeling the work of systems with the internal dynamics. It follows that such a model can be used to predict the state of the system in the future steps of a discrete time. In the paper, selected results of testing just such a use of the RFCM model are described.
机译:本文介绍了关系模糊认知地图(RFCM)模型应用的某些方面,以便进行复杂动态系统的活动的高级分析。 智能模型,包括各种类型的认知地图,通常用于研究所选参数对其他参数的影响或许多参数描述的对象的分类。 除了上述用途外,RFCM模型特性还允许使用它来使用内部动态来建模系统的工作。 因此,这种模型可用于预测在离散时间的未来步骤中的系统状态。 在纸质中,描述了测试的选择结果只是这种使用RFCM模型。

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