Data Analysis and Mining in Ordered Information Tables
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Dominance relation and rules in an incomplete ordered information system
International Journal of Intelligent Systems
Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
Information Sciences: an International Journal
Measuring roughness of generalized rough sets induced by a covering
Fuzzy Sets and Systems
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
Knowledge reduction based on evidence reasoning theory in ordered information systems
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
Uncertainty measures of roughness based on interval ordered information systems
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
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In this article, assignment reduction and approximation reduction are proposed for Inconsistent Ordered Information Systems (IOIS). The properties and relationships between assignment reduction and approximation reduction are discussed. The dominance matrix and decision assignment matrix are also proposed for information systems based on dominance relations. The algorithm of assignment reduction is introduced, from which we can provide an approach to knowledge reductions operated in inconsistent systems based on dominance relations. Finally, an example illustrates the validity of the given method, which shows that the method is effective in complicated information systems.