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Converting fuzzy models to rough models

机译:将模糊模型转换为粗糙模型

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摘要

In this paper, a systematic approach is proposed to convert fuzzy models into rough models. In certain phases of fuzzy model processing, specific procedures are necessary, such as fuzzification or defuzzification. Rough models make up a class of models based on rules which do not require either process for the involved variables. This characteristic proves to be beneficial in real time applications in which processing time is considered critical.
机译:本文提出了一种系统的方法将模糊模型转换为粗糙模型。在模糊模型处理的某些阶段,需要特定的过程,例如模糊化或去模糊化。粗糙模型根据规则组成一类模型,这些规则不需要任何过程来处理所涉及的变量。在处理时间被认为很关键的实时应用中,这一特性被证明是有益的。

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