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Knowledge Acquisition Based on the Global Concept of Fuzzy Cognitive Maps

机译:基于模糊认知图全局概念的知识获取

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Combination of prior knowledge and implicit knowledge hidden in the data of system can enhance the quality of information services in Knowledge Grid. Fuzzy Cognitive Maps (FCMs) are constructed by experts using prior knowledge and do not acquire the implicit knowledge from the data of systems directly, which may distort the dynamical behaviour of information services systems in which knowledge representation and reasoning are based on FCMs. We propose a global concept of FCMs method to acquire implicit knowledge and modify the false knowledge maybe done by experts from the data of system. Experiments show that this method can acquire the implicit knowledge from the data of system and modify the false knowledge hidden in FCMs, which makes the learned FCMs that acquire knowledge from the data of system more natural than the FCMs constructed by experts to emulate intelligent information services behaviors in Knowledge Grid.
机译:隐藏在系统数据中的先验知识和隐性知识的结合可以提高知识网格中信息服务的质量。模糊认知图(FCM)是由专家使用先验知识构建的,不能直接从系统数据中获取隐性知识,这可能会扭曲基于FCM的知识表示和推理的信息服务系统的动态行为。我们提出了一种FCMs方法的全球概念,以获取隐性知识并修改可能由专家根据系统数据完成的错误知识。实验表明,该方法可以从系统数据中获取隐性知识,并对隐藏在FCM中的虚假知识进行修改,使得从系统数据中获取知识的学习型FCM比专家构建的模拟智能信息服务的FCM更自然。知识网格中的行为。

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