Interval structure: a framework for representing uncertain information
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Generalized rough sets over fuzzy lattices
Information Sciences: an International Journal
MGRS in Incomplete Information Systems
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Rough sets on fuzzy approximation spaces and applications to distributed knowledge systems
International Journal of Artificial Intelligence and Soft Computing
Constructive and algebraic methods of the theory of rough sets
Information Sciences: an International Journal
On the structure of generalized rough sets
Information Sciences: an International Journal
Rough set theory based on two universal sets and its applications
Knowledge-Based Systems
Rough sets over the boolean algebras
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Information Sciences: an International Journal
An intelligent knowledge mining model for kidney cancer using rough set theory
International Journal of Bioinformatics Research and Applications
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The fundamental concept of crisp set has been extended in many directions in recent past. The notion of rough set by Pawlak being noteworthy among them. A rough set captures indiscernibility of elements in a set. In the view of granular computing, rough set model is researched by single granulation. It has been extended to multi-granular rough set model in which the set approximations are defined by using multiple equivalence relations on the universe simultaneously. But, in many real life scenarios, an information system establishes the relation with different universes. This gave the extension of multi-granulation rough set on single universal set to multi-granulation rough set on two universal sets. In this paper, we define some algebraic properties and measures of uncertainty of multi-granulation rough set for two universal sets U and V. We study the algebraic properties that are interesting in the theory of multi-granular rough sets. This helps in describing and solving real life problems more accurately.