模糊认知图是近年来研究的热点。
Fuzzy cognitive map has recently become a hot spot of research for several years.
还介绍了基于AFS理论的模糊认知图的意义、需要解决的主要问题以及应用前景。
This paper also discusses the significance, the main problems and the foreground about the study of Fuzzy Cognitive Maps based on AFS theory and its application on data mining.
在空间方向上借助概率模糊认知图的表达、推理能力，对来自多个检测器的报警进行融合。
In this model, repetitive alerts are compressed in temporal space based on some rules and alerts from several detectors are fused in spatial space based on PFCM.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物，为复杂系统建模提供了一种有效工具。
Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
将模糊认识图理论引入企业柔性的研究，应用模糊认知图的构建和仿真来揭示企业柔性系统的内部运行机制。
This paper introduces the basic theory and the FCM (fuzzy cognitive map) arithmetic, constructs FCM model of the instrument in laboratory to achieve the control goal by FCM.
将模糊认识图理论引入企业柔性的研究，应用模糊认知图的构建和仿真来揭示企业柔性系统的内部运行机制。
This paper introduces the basic theory and the FCM (fuzzy cognitive map) arithmetic, constructs FCM model of the instrument in laboratory to achieve the control goal by FCM.
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