基于证据理论的概率-可能性转换

K. Yamada
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引用次数: 61

摘要

概率与可能性之间的转换已经被许多研究者研究过。这些研究大多考察了转换必须满足的原则,并以启发式的方式设计了满足这些原则的方程。他们并没有表明所提出的转换是唯一满足原则的转换。本文提出了基于证据理论的三种新的转换方法。每一种方法都从一些原则出发,与之前的研究相同,但都找到了唯一满足这些原则的转换。其中一种方法认为可能性是不确定性的有序尺度,从给定的概率分布中得到可能性的阶数。其余两种方法将可能性视为比例尺度,将概率分布转化为可能性分布。这三种方法都产生了相同的可能性顺序结构。然而,其中两个产生不同的可能性分布。因此,本文从给定原则的角度考察了两者中哪一个更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probability-possibility transformation based on evidence theory
The transformation between probability and possibility has been studied by many researchers. Most of those studies examined the principles that must be satisfied for the transformation, and devised an equation satisfying them in a heuristic way. They did not show that the proposed transformation was the only one satisfying the principles. The paper devises three new transformation methods based on evidence theory. Each starts from some principles in the same way as the previous research, but finds the only transformation satisfying the principles. One of them considers that possibility is an ordinal scale of uncertainty, and obtains the possibilistic order from a given probability distribution. The remaining two regard possibility as a ratio scale, and transforms a probability distribution into a possibility distribution. All of the three generate the same ordinal structure of possibility. However, two of them generate different possibility distributions. Thus, the paper examines which of the two is more valid from the point of view of the given principles.
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