Abstract
Rough set theory offers new perspective on Bayes’ theorem. The look on Bayes’ theorem offered by rough set theory reveals that any data set (decision table) satisfies total probability theorem and Bayes’ theorem. These properties can be used directly to draw conclusions from objective data without referring to subjective prior knowledge and its revision if new evidence is available.
Thus the rough set view on Bayes’ theorem is rather objective in contrast to subjective “classical” interpretation of the theorem .
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Pawlak, Z. (2002). The Rough Set View on Bayes’ Theorem. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_15
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DOI: https://doi.org/10.1007/3-540-45631-7_15
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