Variable precision rough set model
Journal of Computer and System Sciences
Advances in the Dempster-Shafer theory of evidence
On variable consistency dominance-based rough set approaches
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Rough membership and bayesian confirmation measures for parameterized rough sets
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Stochastic dominance-based rough set model for ordinal classification
Information Sciences: an International Journal
Credible rules in incomplete decision system based on descriptors
Knowledge-Based Systems
Monotonic Variable Consistency Rough Set Approaches
International Journal of Approximate Reasoning
Dominance-based rough set approach to incomplete interval-valued information system
Data & Knowledge Engineering
Sequential covering rule induction algorithm for variable consistency rough set approaches
Information Sciences: an International Journal
Dominance-based fuzzy rough approach to an interval-valued decision system
Frontiers of Computer Science in China
Variable consistency bagging ensembles
Transactions on Rough Sets XI
An intuitionistic fuzzy dominance---based rough set
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
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We consider new definitions of Variable Consistency Rough Set Approaches that employ monotonic measures of membership to the approximated set. The monotonicity is understood with respect to the set of considered attributes. This kind of monotonicity is related to the monotonicity of the quality of approximation, considered among basic properties of rough sets. Measures that were employed by approaches proposed so far lack this property. New monotonic measures are considered in two contexts. In the first context, we define Variable Consistency Indiscernibility-based Rough Set Approach (VC-IRSA). In the second context, new measures are applied to Variable Consistency Dominance-based Rough Set Approaches (VC-DRSA). Properties of new definitions are investigated and compared to previously proposed Variable Precision Rough Set (VPRS) model, Rough Bayesian (RB) model and VC-DRSA.