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Multi-Dimension Sandpile Space: a new theory of representation and reasoning for experience knowledge

机译:多维Sandpile Space:一种新的代表理论和经验知识的推理理论

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Fuzzy experience knowledge cannot be explained quantitatively with mathematical formula or certain rules. In order to solve this problem, a new theory of Multi- Dimension Sandpile Space (MDSS) was proposed in this paper with analogy to the Sandpile Model in self-organization theory. MDSS theory has the ability of dealing with uncertain or fuzzy knowledge by combining the virtues of fuzzy logic theory and neural networks, the characteristic of continual learning of case-based reasoning (CBR), and avoided the unceasing inflation of the size of information in database when using CBR. Finally, the simulation results of an example are given to show the change of the size of database by using MDSS theory.
机译:模糊体验知识不能用数学公式或某些规则定量解释。为了解决这个问题,本文提出了一种新的多维散网空间(MDSS)理论,与自组织理论中的SandPile模型类似。 MDSS理论具有通过组合模糊逻辑理论和神经网络的优点来处理不确定或模糊知识的能力,基于案例的推理(CBR)的持续学习的特征,避免了数据库中信息大小的不断膨胀使用CBR时。最后,通过使用MDS理论,给出了示例的模拟结果来显示数据库大小的变化。

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