Advances in the Dempster-Shafer theory of evidence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Intelligent Data Analysis: An Introduction
Intelligent Data Analysis: An Introduction
A Rough Set Based Approach for ECG Classification
Transactions on Rough Sets IX
Extended Pawlak's Flow Graphs and Information Theory
Transactions on Computational Science V
Interpretation of extended Pawlak flow graphs using granular computing
Transactions on rough sets VIII
Adaptive Method of Adjusting Flowgraph for Route Reconstruction in Video Surveillance Systems
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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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.