论文信息 - Bayes’ Theorem — the Rough Set Perspective

Bayes’ Theorem — the Rough Set Perspective

Rough set theory offers new insight into Bayes’ theorem. It does not refer either to prior or posterior probabilities, inherently associated with Bayesian reasoning, but reveals some probabilistic structure of the data being analyzed. This property can be used directly to draw conclusions from data.

Zdzisław Pawlak | Z. Pawlak

[1] Zdzisław Pawlak. New look on Bayes' theorem The rough set outlook II , 2001 .

[2] David J. Hand,et al. Intelligent Data Analysis: An Introduction , 2005 .

[3] George E. P. Box,et al. Bayesian Inference in Statistical Analysis: Box/Bayesian , 1992 .

[4] D. R. Fulkerson,et al. Flows in Networks. , 1964 .

[5] T. Bayes. An essay towards solving a problem in the doctrine of chances , 2003 .

[6] Z. Pawlak,et al. Rough membership functions , 1994 .

[7] P. Rousseeuw,et al. Wiley Series in Probability and Mathematical Statistics , 2005 .

[8] T. Bayes,et al. Studies in the History of Probability and Statistics: IX. Thomas Bayes's Essay Towards Solving a Problem in the Doctrine of Chances , 1958 .

[9] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .