A Similarity Measure between Basic Belief Assignments

Javier Diaz, M. Rifqi, B. Bouchon-Meunier
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引用次数: 39

Abstract

A similarity measure between the focal elements used on a distance function of two basic belief assignments in the theory of evidence is presented, making way for the application of classical classification algorithms in this field. The properties of this measure are particular to its context, considering the characteristics of the focal elements, their relationship with each other and their proximity to the vacuous belief function that represents the state of total ignorance
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基本信念赋值之间的相似性度量
提出了证据理论中基于两个基本信念赋值的距离函数的焦点元素之间的相似性度量,为经典分类算法在该领域的应用开辟了道路。考虑到焦点元素的特征、它们彼此之间的关系以及它们与代表完全无知状态的空洞信念函数的接近程度,这种测量方法的属性是特定于其上下文的
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