不确定性的演绎推理模型与方法

Proceedings 11th International Conference on Tools with Artificial Intelligence Pub Date : 1999-11-08 DOI:10.1109/TAI.1999.809781

Makoto Suzuki, T. Matsushima, S. Hirasawa

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引用次数: 3

摘要

讨论了各种诊断专家系统所处理的具有不确定性的演绎问题。首先，我们提出了一个不确定性演绎推理的数学框架。推理的主题是条件概率的计算。其次，我们建立了一种新的推理方法。我们的演绎算法可以精确地计算条件概率。换句话说，结果会使散度最小化。

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On a deductive reasoning model and method for uncertainty

Discusses a problem of deduction with uncertainty that has been dealt with by various diagnostic expert systems. First, we propose a mathematical framework of deductive reasoning with uncertainty. The subject of the reasoning is the calculation of conditional probabilities. Second, we establish a new reasoning method. Our deduction algorithm can compute the conditional probabilities precisely. To put it another way around, the result minimizes the divergence.

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Proceedings 11th International Conference on Tools with Artificial Intelligence

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