Communications of the ACM
Uncertainly measures of rough set prediction
Artificial Intelligence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
The algorithm on knowledge reduction in incomplete information systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
Measures for evaluating the decision performance of a decision table in rough set theory
Information Sciences: an International Journal
On the evaluation of the decision performance of an incomplete decision table
Data & Knowledge Engineering
Consistency measure, inclusion degree and fuzzy measure in decision tables
Fuzzy Sets and Systems
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
Evaluation Method for Decision Rule Sets
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
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
Research on rough set theory and applications in China
Transactions on rough sets VIII
A method of uncertainty measure in set-valued ordered information systems
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
An interval set model for learning rules from incomplete information table
International Journal of Approximate Reasoning
Axiomatic approach of knowledge granulation in information system
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
An Improved Axiomatic Definition of Information Granulation
Fundamenta Informaticae
Attribute selection based on a new conditional entropy for incomplete decision systems
Knowledge-Based Systems
Rough set approach to incomplete numerical data
Information Sciences: an International Journal
Information Sciences: an International Journal
Mixed feature selection in incomplete decision table
Knowledge-Based Systems
Hi-index | 0.00 |
Based on the intuitionistic knowledge content characteristic of information gain, the concepts of combination entropy CE(A) and combination granulation CG(A) in incomplete information system are introduced, their some properties are given. Furthermore, the relationship between combination entropy and combination granulation is established. These concepts and properties are all special instances of those in in complete information system. These results will be very helpful for understanding the essence of knowledge content and uncertainty measurement in incomplete information system