一种利用信息进行不确定性推理的方法

Jun Ma, Jun Liu, Yang Xu
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引用次数: 3

摘要

众所周知,不确定性推理是人工智能领域的一个研究热点。在本文中,我们主要研究如何从规则中表示和提取信息,并将信息应用于推理。首先讨论了规则在不确定性推理中的作用和特点,给出了不确定性推理的两个原则。在此基础上,给出了必要属性、信息有效性的定义。此外,我们还根据该规则定义了属性的重要性和实用性。最后,提出了一种利用信息进行不确定性推理的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method of uncertainty reasoning by using information
It is well known that uncertainty reasoning is a hot spot in artificial intelligence. In this paper, we focus on how to present and extract information from the rule and apply the information in reasoning. First, we discussed the role and the characteristics of the rule used in uncertainty reasoning and give two principles about reasoning. After that, we gave the definitions of necessary property, information validity. Also we defined the importance and usefulness of properties with respect to the rule. Finally, we presented a method of uncertainty reasoning by using information.
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