Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Advances in the Dempster-Shafer theory of evidence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
FUN: Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute
Transactions on Rough Sets IX
Reducts and Constructs in Attribute Reduction
Fundamenta Informaticae - International Conference on Soft Computing and Distributed Processing (SCDP'2002)
Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis
Fundamenta Informaticae
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We discuss an uncertainty representation based on rough membership functions in inconsistent decision tables. We propose a reasoning model for dealing with objects having probability distributions instead of concrete values on attributes. We prove discernibility characteristics for minimal boolean implicants in inconsistent decision tables with indeterministically defined objects.