Probabilistic correlation coefficients for possibility distributions

R. Fullér, I. Harmati, P. Várlaki
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引用次数: 2

Abstract

The goal of this paper to introduce two alternative definitions for the possibilistic correlation coefficient by equipping the level sets of a joint possibility distribution with nonuniform probability distributions which are directly derived from the shape function of the joint possibility distribution. We also show some examples for their exact calculation for joint possibility distributions defined by Mamdani, Łukasiewicz and Larsen triangular norms.
概率分布的概率相关系数
本文的目的是通过给联合可能性分布的水平集配上由联合可能性分布的形状函数直接导出的非均匀概率分布,从而引入可能性相关系数的两种可选定义。我们还展示了一些由Mamdani, Łukasiewicz和Larsen三角范数定义的联合可能性分布的精确计算示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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