On testing membership to maximal consistent extensions of information systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4259 LNAI, Issue , 2006, Pages 85-90

  Moshkov, Mikhail ^a   Skowron, Andrzej ^b   Suraj, Zbigniew ^c,d  

^a UNIVERSITY OF SILESIA   (Poland)

^b UNIVERSITY OF WARSAW   (Poland)

^c UNIVERSITY OF RZESZÓW   (Poland)

^d State School of Higher Education in Jaros aw   (Poland)

Author keywords

Information systems; Maximal consistent extensions; Rough sets

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COMPUTATIONAL COMPLEXITY; POLYNOMIALS; ROUGH SET THEORY; TIME DOMAIN ANALYSIS;

INFORMATION SYSTEMS; MAXIMAL CONSISTENT EXTENSIONS;

INFORMATION ANALYSIS;

EID: 33845267488     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11908029_10     Document Type: Conference Paper

References (8)

1. Pancerz, K., Suraj, Z.: Synthesis of Petri net models: a rough set approach. Fundamenta Informaticae 55(2) (2003) 149-165
2. Pawlak, Z.: Rough Sets - Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, Dordrecht, 1991
3. Pawlak, Z.: Concurrent versus sequential the rough sets perspective. Bulletin of the EATCS 48 (1992) 178-190
4. Rza̧sa, W., Suraj, Z.: A new method for determining of extensions and restrictions of information systems. Proceedings of the 3rd International Conference on Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence 2475, Springer-Verlag (2002) 197-204
5. Skowron, A., Suraj, Z.: Rough sets and concurrency. Bulletin of the Polish Academy of Sciences 41(3) (1993) 237-254
6. Suraj, Z.: Rough set methods for the synthesis and analysis of concurrent processes. Rough Set Methods and Applications (Studies in Fuzziness and Soft Computing 56). Edited by L. Polkowski, S. Tsumoto, and T.Y. Lin. Physica-Verlag (2000) 379-488
7. Suraj, Z.: Some remarks on extensions and restrictions of information systems. Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence 2005, Springer-Verlag (2001) 204-211
8. Suraj, Z., Pancerz, K.: A new method for computing partially consistent extensions of information systems: a rough set approach. Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Paris, France, July 2006, Editions EDK (2006), Vol. III 2618-2625