Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Mathematical Foundations
Rough Sets: Mathematical Foundations
A note on 3-valued rough logic accepting decision rules
Fundamenta Informaticae
On Rough Set Logics Based on Similarity Relations
Fundamenta Informaticae - Contagious Creativity - In Honor of the 80th Birthday of Professor Solomon Marcus
Rough mereology in analysis of vagueness
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Choice inclusive general rough semantics
Information Sciences: an International Journal
A Logic-Algebraic Approach to Graded Inclusion
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Dialectics of counting and the mathematics of vagueness
Transactions on Rough Sets XV
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Rough mereology allows for similarity measures (called rough inclusions) which in turn form a basis for the mechanism of granulation of knowledge. Granules of knowledge, defined as classes of satisfactorily similar objects, can be regarded as worlds in which properties of entities are evaluated. Obtained in this way granular rough mereological intensional logics reveal essential properties of rough set based reasoning. We present in this work the essential facts about these logics.