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Dempster-Shafer Information Measures in Category Theory

机译:范畴论中的Dempster-Shafer信息测度

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In the Dempster Shafer context, one can construct new types of information measures based on belief and plausibility functions. These measures differ from those in Shannon's theory because, in his theory, information measures are based on probability functions. Other types of information measures were discovered by Kampe de Feriet and his colleagues in the French and Italian schools of mathematics. The objective of this paper is to construct a new category of information. I use category theory to construct a general setting in which the various types of information measures are special cases.
机译:在Dempster Shafer上下文中,可以基于信念和合理性函数构造新型的信息度量。这些度量不同于Shannon的理论,因为在他的理论中,信息度量基于概率函数。 Kampe de Feriet及其同事在法国和意大利数学学校发现了其他类型的信息度量。本文的目的是构建一种新的信息类别。我使用类别理论来构建一个通用设置,其中各种类型的信息度量都是特例。

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