Interval based evidence sets

Luis M. Rocha
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引用次数: 11

Abstract

The relationship between set theory and the modeling of human categorization processes is the starting point of a discussion aiming at the definition of mathematical structures capable of better representing human categorization and linguistic capabilities. It is maintained that a theory of belief which acknowledges subjectivity and observed dependence, is imperative in any attempt to model cognitive categorization. A connection between the Dempster-Shafer Theory of Evidence and Interval Valued Fuzzy Sets is proposed through the presentation of a structure called Evidence Set. This structure allows the introduction of all the recognized forms of uncertainty uncapturable by Fuzzy or Interval Valued Fuzzy Sets alone, as well as a representation of belief in a set arrangement.
基于区间的证据集
集合论与人类分类过程建模之间的关系是讨论的起点,旨在定义能够更好地表示人类分类和语言能力的数学结构。人们认为,一个承认主观性和观察依赖性的信念理论,在任何试图建立认知分类模型的过程中都是必不可少的。通过提出一种称为证据集的结构,将Dempster-Shafer证据理论与区间值模糊集联系起来。这种结构允许引入所有被模糊或区间值模糊集单独捕捉不到的可识别的不确定性形式,以及在集合排列中的信念表示。
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