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Fuzzy Sets in Case-Based Reasoning

机译:基于案例的推理中的模糊集

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摘要

Both Case-Based Reasoning (CBR) and Fuzzy Systems are intended as cognitively more plausible approaches to problem-solving and learning. The two corresponding fields have emphasized different aspects that complement each other in a reasonable way. In the present paper we introduce a fuzzy model for the representation of a CBR system, which is based on the formalization of CBR as a four steps process (retrieve, reuse, revise, retain). An application is also presented to illustrate our results.
机译:基于案例的推理(CBR)和模糊系统都旨在作为解决问题和学习的认知上更合理的方法。这两个相应的领域强调了以合理方式相互补充的不同方面。在本文中,我们介绍了一种用于表示CBR系统的模糊模型,该模型基于CBR的形式化过程,该过程分为四个步骤(检索,重用,修订,保留)。还提供了一个应用程序来说明我们的结果。

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