Artificial Intelligence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A comparison of dynamic and static belief rough set classifier
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Classification with dynamic reducts and belief functions
Transactions on rough sets XIV
Classification systems based on rough sets under the belief function framework
International Journal of Approximate Reasoning
Heuristic for attribute selection using belief discernibility matrix
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
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In this paper, we propose a new rough set classifier induced from partially uncertain decision system. The proposed classifier aims at simplifying the uncertain decision system and generating more significant belief decision rules for classification process. The uncertainty is reperesented by the belief functions and exists only in the decision attribute and not in condition attribute values.