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Logical Divergence, Logical Entropy, and Logical Mutual Information in Product MV-Algebras

机译:产品MV-代数中的逻辑散度,逻辑熵和逻辑互信息

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In the paper we propose, using the logical entropy function, a new kind of entropy in product MV-algebras, namely the logical entropy and its conditional version. Fundamental characteristics of these quantities have been shown and subsequently, the results regarding the logical entropy have been used to define the logical mutual information of experiments in the studied case. In addition, we define the logical cross entropy and logical divergence for the examined situation and prove basic properties of the suggested quantities. To illustrate the results, we provide several numerical examples.
机译:在本文中,我们提出了使用逻辑熵函数,在乘积MV-代数中的一种新型熵,即逻辑熵及其条件形式。这些量的基本特征已经显示出来,随后,关于逻辑熵的结果已用于定义研究案例中实验的逻辑互信息。此外,我们为所检查的情况定义了逻辑交叉熵和逻辑散度,并证明了建议数量的基本性质。为了说明结果,我们提供了几个数值示例。

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