计算机科学 ›› 2016, Vol. 43 ›› Issue (3): 75-79.doi: 10.11896/j.issn.1002-137X.2016.03.015
周如旗,陈忆群,冯嘉礼
ZHOU Ru-qi, CHEN Yi-qun and FENG Jia-li
摘要： 为使模糊Petri网能够描述可变模糊隶属判据下的模糊知识,利用基准变换能较好地表达模糊隶属判据可变情况的特点,基于定性映射和定性基准变换对模糊Petri网进行了扩展,给出了扩展后网模型的形式定义和基本运行机制。通过利用定性映射描述模糊产生式规则,给出了一种新的知识表示模式和推理方法,新方法有利于构建模糊Petri网基于认知的学习机制。结果显示,该网模型具有较强的知识表达能力,适用于处理认知模糊不确定性知识,其推理过程能体现某些认知特性,尤其适用于构建以定性判断为特点的智能系统。
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