Variable precision rough set model
Journal of Computer and System Sciences
Communications of the ACM
Variable precision extension of rough sets
Fundamenta Informaticae - Special issue: rough sets
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Decision Tables in Software Engineering
Decision Tables in Software Engineering
Rough Sets and Decision Algorithms
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Weak Dependencies in Approximation Spaces
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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Approximation region-based decision tables are tabular specifcations of three, in general uncertain, decision rules corresponding to rough approximation regions: positive, boundary and negative regions. The focus of the paper is on the extraction of such decision tables from data, their relationship to conjunctive rules and probabilistic assessment of decision confidence. The theoretical framework of the paper is a variable precision model of rough sets.