Uncertainly measures of rough set prediction
Artificial Intelligence
Rules in incomplete information systems
Information Sciences: an International Journal
The algorithm on knowledge reduction in incomplete information systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Maximal consistent block technique for rule acquisition in incomplete information systems
Information Sciences: an International Journal
Information Sciences: an International Journal - Special issue: Information technology
Combination entropy and combination granulation in incomplete information system
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Interval ordered information systems
Computers & Mathematics with Applications
Set-valued ordered information systems
Information Sciences: an International Journal
MGRS: A multi-granulation rough set
Information Sciences: an International Journal
Consistency and fuzziness in ordered decision tables
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Axiomatic definition of knowledge granularity and its constructive method
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
A covering-based pessimistic multigranulation rough set
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
A measurement theory view on the granularity of partitions
Information Sciences: an International Journal
An Improved Axiomatic Definition of Information Granulation
Fundamenta Informaticae
Multigranulation rough sets: From partition to covering
Information Sciences: an International Journal
A novel cognitive system model and approach to transformation of information granules
International Journal of Approximate Reasoning
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Granular computing is potentially in knowledge discovery and data mining etc. In this paper, by introducing a partial relation $\underline{\prec} ^{'}$ with set size character to information system, an axiom definition of knowledge granulation for information system is presented, some existing the definitions of knowledge granulation become special forms. These results will be very helpful for understanding the essence of knowledge granulation and uncertainty measurement in information system.