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Rough-set belief rule model using multinomial subjective logic

机译:使用多项主观逻辑的粗糙集置信规则模型

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摘要

In accordance with the uncertainty of decision rules extraction process in boundary region of the rough set, this study proposes a rough-set belief rule model using multinomial subjective logic. The model builds the belief rule expectation for classification and recognition. It not only considered the effects of single condition attributes on decision, but also the multi-attributes. Finally, the example analysis and comparison with the () model indicates the validity and advantage of this model.
机译:针对粗糙集边界区域决策规则提取过程的不确定性,提出了一种基于多项主观逻辑的粗糙集置信规则模型。该模型建立用于分类和识别的置信规则期望。它不仅考虑了单个条件属性对决策的影响,而且还考虑了多属性。最后,示例分析和与()模型的比较表明了该模型的有效性和优势。

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