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基于样本差异度的基本概率指派生成方法

DOI: 10.13195/j.kzyjc.2013.1706, PP. 71-75

Keywords: 模糊数,基本概率指派,证据理论,分类

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Abstract:

提出一种基于样本差异度的基本概率指派(BPA)生成方法.建立三角模糊数模型,根据所提出的差异度函数计算模型和待测样本的差异度,生成初始BPA.为了消除干扰影响,对初始BPA进行冲突阈值判别并进行相应的冲突消解,使得传感器在受到干扰等情况下也可输出合理的BPA.鸢尾花分类实验表明,所提出的方法简单实用,具有较强的干扰消除能力.

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