模糊认知图(Fuzzy Cognitive Maps,FCMs)是一种将模糊逻辑与图论相结合的软计算方法,通过有向加权图的形式表现概念之间的因果关系。
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基于规则的模糊认知图 RBFCM
概率模糊认知图 PFCM
混合模糊认知图 HFCM
动态模糊认知图 DFCM
现有模糊认知图 Fuzzy Congnitive Map ; FCM
模糊认知图的理论 FCM ; Fuzzy Cognitive Map
适应性随机模糊认知图 Adaptive RandomFuzzyCognitiveMap ; ARFCM
初级的模糊认知图 crisp FCM
层次概率模糊认知图 Hierarchical probabilistic fuzzy cognitive map
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.
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