IEEE Transactions on Software Engineering
Rough sets: probabilistic versus deterministic approach
International Journal of Man-Machine Studies
Uncertainly measures of rough set prediction
Artificial Intelligence
On semantic issues connected with incomplete information databases
ACM Transactions on Database Systems (TODS)
On Databases with Incomplete Information
Journal of the ACM (JACM)
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Information Sciences: an International Journal
Handbook of Granular Computing
Handbook of Granular Computing
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Set-valued ordered information systems
Information Sciences: an International Journal
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
The superiority of three-way decisions in probabilistic rough set models
Information Sciences: an International Journal
A rough set approach to multiple dataset analysis
Applied Soft Computing
Information Sciences: an International Journal
Multi knowledge based rough approximations and applications
Knowledge-Based Systems
Transformation of bipolar fuzzy rough set models
Knowledge-Based Systems
A rough set approach for estimating correlation measures in quality function deployment
Information Sciences: an International Journal
A new weighted rough set framework based classification for Egyptian NeoNatal Jaundice
Applied Soft Computing
A comparative study of rough sets for hybrid data
Information Sciences: an International Journal
Set-valued information systems
Information Sciences: an International Journal
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
Covering based rough set approximations
Information Sciences: an International Journal
The fourth type of covering-based rough sets
Information Sciences: an International Journal
Fuzzy–Rough Supervised Attribute Clustering Algorithm and Classification of Microarray Data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information Granularity in Fuzzy Binary GrC Model
IEEE Transactions on Fuzzy Systems
Information-theoretic measures associated with rough set approximations
Information Sciences: an International Journal
Attribute reduction of data with error ranges and test costs
Information Sciences: an International Journal
A measurement theory view on the granularity of partitions
Information Sciences: an International Journal
Feature Selection for Monotonic Classification
IEEE Transactions on Fuzzy Systems
A general frame for intuitionistic fuzzy rough sets
Information Sciences: an International Journal
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
Quantitative analysis for covering-based rough sets through the upper approximation number
Information Sciences: an International Journal
Information Sciences: an International Journal
Attribute selection based on a new conditional entropy for incomplete decision systems
Knowledge-Based Systems
Information Sciences: an International Journal
Mixed feature selection in incomplete decision table
Knowledge-Based Systems
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Set-valued information systems are generalized models of single-valued information systems. In this paper, we propose two new relations for set-valued information systems. Based on these two relations, the concepts of knowledge information entropy, knowledge rough entropy, knowledge granulation and knowledge granularity measure are defined in set-valued information systems, and some properties are investigated. Moreover, relationship between knowledge information entropy and knowledge granulation, knowledge rough entropy and knowledge granularity measure are studied. It is also shown that knowledge information entropy and knowledge granularity measure can be used to evaluate the certainty degree of knowledge in set-valued information systems, and knowledge rough entropy and knowledge granulation can be used to evaluate the uncertainty degree of knowledge in set-valued information systems. These results may supply a further understanding the essence of uncertainty and granularity in set-valued information systems.