Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rough approximation quality revisited
Artificial Intelligence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Entropies and Co-Entropies of Coverings with Application to Incomplete Information Systems
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
On non-pointwise entropies of coverings: relationship with anti-monotonicity
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Sand piles: From physics to cellular automata models
Theoretical Computer Science
A measurement theory view on the granularity of partitions
Information Sciences: an International Journal
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A partitioning approach to the problem of dealing with the entropy of incomplete information systems is explored. The aim is to keep into account the incompleteness and at the same time to obtain a probabilistic partition of the information system. For the resulting probabilistic partition, measures of entropy and co-entropy are defined, similarly to the entropies and co-entropies defined for the complete case.