Interval ordered information systems
Computers & Mathematics with Applications
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing
Image and Vision Computing
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Set-valued ordered information systems
Information Sciences: an International Journal
MGRS: A multi-granulation rough set
Information Sciences: an International Journal
Consistency and fuzziness in ordered decision tables
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
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 novel method for attribute reduction of covering decision systems
Information Sciences: an International Journal
Multigranulation decision-theoretic rough sets
International Journal of Approximate Reasoning
Pessimistic rough set based decisions: A multigranulation fusion strategy
Information Sciences: an International Journal
A Comparative Study of Ordered and Covering Information Systems
Fundamenta Informaticae
Multi-granulation fuzzy rough sets
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A deinterlacing algorithm that is based on rough sets theory is researched and applied in this paper. The fundamental concepts of rough sets, with upper and lower approximations, offer a powerful means of representing uncertain boundary regions in image processing. However, there are a few studies that discuss the effectiveness of the rough sets concept in the field of engineering. Moreover, the studies involving deinterlacing systems that are based on rough sets have not been proposed yet. Thus, this paper proposes a deinterlacing method that will reliably confirm that the method being tested is the most suitable for the sequence, with almost perfect reliability. This proposed deinterlacing approach employs a size reduction of the database system, keeping only the essential information for the process. Decision making and interpolation results are presented. The results of computer simulations show that the proposed method outperforms a number of methods presented in the literature