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Issue title: Special Issue on Concurrency Specification and Programming (CS&P)
Article type: Research Article
Authors: Suraj, Zbigniew | Pancerz, Krzysztof
Affiliations: Chair of Computer Science, University of Rzeszów, Poland. E-mail: [email protected] | Chair of Computer Science Foundations, University of Information Technology and Management, Rzeszów, Poland Chair of Computer Science and Knowledge Engineering, College of Management and Public Administration, Zamość, Poland. E-mail: [email protected]
Abstract: This paper provides new algorithms for computing consistent and partially consistent extensions of information systems. A maximal consistent extension of a given information system includes only objects corresponding to known attribute values which are consistent with all rules extracted from the original information system. A partially consistent extension of a given information system includes objects corresponding to known attribute values which are consistent to a certain degree with the knowledge represented by rules extracted from the original information system. This degree can be between 0 and 1, 0 for the full inconsistency and 1 for the full consistency. The algorithms presented here do not involve computing any rules true in a given information system. This property differentiates them from methods presented in the earlier papers which concerned extensions of information systems.
Keywords: rough sets, information systems, consistent extensions, partially consistent extensions
Journal: Fundamenta Informaticae, vol. 79, no. 3-4, pp. 553-566, 2007
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