Obtaining Fuzzy Sets using Mass Assignment Theory - Consistency with Interpolation -

A. Ralescu, S. Visa
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引用次数: 6

Abstract

The problem of data summarization as fuzzy sets from frequency distributions is presented. The approach makes use of the mass assignment theory as a framework for unification of fuzzy sets and probability distributions. The approach is consistent with the interpolation of the membership function needed to infer membership degrees for data points previously not seen.
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用质量分配理论获得模糊集-与插值的一致性
提出了用频率分布的模糊集对数据进行汇总的问题。该方法利用质量分配理论作为模糊集和概率分布统一的框架。该方法与推断以前未见过的数据点的隶属度所需的隶属函数的插值一致。
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