基于模糊案例推理的属性匹配

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI:10.1109/NAFIPS.1999.781647

G. Dvir, G. Langholz, Moti Schneider

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引用次数: 30

摘要

本文描述了一种基于模糊专家案例的推理系统。这个想法是结合这两种技术的方法来提出一个系统，该系统利用推理过程和基于案例的推理系统使用的匹配算法。我们描述了这个系统，并举例说明了如何用比现有的一些基于案例的推理系统更自然的方式来解决问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Matching attributes in a fuzzy case based reasoning

This paper describes a fuzzy expert case-based reasoning system. The idea is to combine methodologies from both technologies to come up with a system that utilizes inference procedures with matching algorithms used by case-based reasoning systems. We describe the system and, with examples, show how it can be utilized to solve problems in a more natural way than some of the existing case-based reasoning systems.

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18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)

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