Variable precision rough set model
Journal of Computer and System Sciences
From rough set theory to evidence theory
Advances in the Dempster-Shafer theory of evidence
Interpretations of belief functions in the theory of rough sets
Information Sciences: an International Journal - From rough sets to soft computing
&agr;-RST: a generalization of rough set theory
Information Sciences—Informatics and Computer Science: An International Journal
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Variable Precision Rough Sets with Asymmetric Bounds
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Approximate Reducts and Association Rules - Correspondence and Complexity Results
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
An Interpretation of Belief Functions on Infinite Universes in the Theory of Rough Sets
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Solving the Attribute Reduction Problem with Ant Colony Optimization
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Uncertainty Measures of Roughness of Knowledge and Rough Sets in Ordered Information Systems
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Fuzzy preference based rough sets
Information Sciences: an International Journal
Homomorphisms between relation information systems
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Knowledge reduction in generalized consistent decision formal contexts
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
An uncertain reasoning approach with application to satellite fault detection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
A revised evidential reasoning model based on interval information
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Approximation reduction in inconsistent incomplete decision tables
Knowledge-Based Systems
Research on rough set theory and applications in China
Transactions on rough sets VIII
Approaches to attribute reduction in concept lattices induced by axialities
Knowledge-Based Systems
Knowledge reduction in random incomplete information systems via evidence theory
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Attribute reduction based on generalized fuzzy evidence theory in fuzzy decision systems
Fuzzy Sets and Systems
Maximal confidence intervals of the interval-valued belief structure and applications
Information Sciences: an International Journal
Some mathematical structures of generalized rough sets in infinite universes of discourse
Transactions on rough sets XIII
Solving the attribute reduction problem with ant colony optimization
Transactions on rough sets XIII
Attribute reduction in random information systems with fuzzy decisions
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Knowledge reduction in incomplete information systems based on dempster-shafer theory of evidence
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
On the local reduction of information system
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Characterizations of attributes in generalized approximation representation spaces
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
An application of rough sets to graph theory
Information Sciences: an International Journal
Extended rough set-based attribute reduction in inconsistent incomplete decision systems
Information Sciences: an International Journal
Approaches to knowledge reduction in generalized consistent decision formal context
Mathematical and Computer Modelling: An International Journal
Rough sets in the Soft Computing environment
Information Sciences: an International Journal
Communication between information systems with covering based rough sets
Information Sciences: an International Journal
On Some Mathematical Structures of T-Fuzzy Rough Set Algebras in Infinite Universes of Discourse
Fundamenta Informaticae - Advances in Rough Set Theory
Knowledge Reduction in Random Incomplete Decision Tables via Evidence Theory
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
Evaluation of the decision performance of the decision rule set from an ordered decision table
Knowledge-Based Systems
Quick attribute reduction in inconsistent decision tables
Information Sciences: an International Journal
A novel method for attribute reduction of covering decision systems
Information Sciences: an International Journal
Rule acquisition and complexity reduction in formal decision contexts
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
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Knowledge reduction is one of the main problems in the study of rough set theory. This paper deals with knowledge reduction in (random) information systems based on Dempster-Shafer theory of evidence. The concepts of belief and plausibility reducts in (random) information systems are first introduced. It is proved that both of belief reduct and plausibility reduct are equivalent to classical reduct in (random) information systems. The relative belief and plausibility reducts in consistent and inconsistent (random) decision systems are then proposed and compared to the relative reduct and relationships between the new reducts and some existing ones are examined.