基于模糊事件的贝叶斯推理

B. Yuan, G. Klir
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引用次数: 2

摘要

本文的目的是表明,与贝叶斯贸易的一些概率论家的主张相反,概率论与模糊集合论的关系与经典集合论的关系类似。考察R.T. Cox(1946)的著名证明,其目的是证明经典贝叶斯推理规则,我们指出了证明的一些弱点,并表明它并不排除基于模糊事件的贝叶斯推理替代规则的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian inference based upon fuzzy events
The purpose of the paper is to show that, contrary to the claims of some probabilists of the Bayesian trade, probability theory relates to fuzzy set theory in a similar way as it relates to classical set theory. Examining the well known proof by R.T. Cox (1946), whose aim is to justify the rules of classical Bayesian inference, we point to some weaknesses of the proof and show that it does not exclude the possibility of alternative rules of Bayesian inference based on fuzzy events.
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