Modal logics for knowledge representation systems
Theoretical Computer Science
A rough set approach to attribute generalization in data mining
Information Sciences: an International Journal
Logical approaches to incomplete information: a survey
Logics for databases and information systems
Rules in incomplete information systems
Information Sciences: an International Journal
Modal logic
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Incomplete Information: Structure, Inference, Complexity
Incomplete Information: Structure, Inference, Complexity
Modal Logic for Evaluating Formulas in Incomplete Contexts
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
Decision Logics for Knowledge Representation in Data Mining
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
A Generalized Decision Logic in Interval-Set-Valued Information Tables
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Rough Logic for Multi-Agent Systems
International Conference Logic at Work on Knowledge Representation and Reasoning Under Uncertainty, Logic at Work
International Journal of Approximate Reasoning
Formal reasoning with rough sets in multiple-source approximation systems
International Journal of Approximate Reasoning
Fuzzy rough approximations of process data
International Journal of Approximate Reasoning
Dynamic Epistemic Logic
A Logic for Complete Information Systems
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
An Incremental Approach for Inducing Knowledge from Dynamic Information Systems
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Propositional logics from rough set theory
Transactions on rough sets VI
Local and global approximations for incomplete data
Transactions on rough sets VIII
International Journal of Intelligent Systems
Logics for information systems and their dynamic extensions
ACM Transactions on Computational Logic (TOCL)
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Treating incomplete knowledge in formal concept analysis
Formal Concept Analysis
International Journal of Approximate Reasoning
Tolerance Approximation Spaces
Fundamenta Informaticae
International Journal of Approximate Reasoning
Multigranulation decision-theoretic rough sets
International Journal of Approximate Reasoning
Hi-index | 0.00 |
Updates in a knowledge base, given as an information system in rough set theory, may need to be made due to changes in (i) the set of attributes, (ii) attribute-values, or (iii) the set of objects (instances). In this article, we propose a logic for information systems which incorporates all these three aspects of updates. The logic can capture the flow of information as well as its effects on the approximations of concepts. A sound and complete deductive system for the logic is presented. The decidability issue is also discussed.