Abstract
Information systems (data tables) are often used to represent experimental data [4],[5],[8]. In [16] it has been pointed out that notions of extension and restriction of information system are crucial for solving different class of problems [6],[7],[10]-[11],[12]-[15]. The intent of this paper is to present some properties of an information system extension (restriction) and methods of their verification.
This work has been partially supported by the grant No. 8T11C 025 19 from the State Committee for Scientific Research in Poland.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brown, E.M.: Boolean Reasoning. Kluwer, Dordrecht (1990)
Michalski, R., Bratko, I., Kubat, M. (eds.): Machine Learning and Data Mining. Methods and Applications. Wiley, New York (1998)
Nadler, M., Smith, E.P.: Pattern Recognition Engineering. Wiley, New York (1993)
Pal, S.K., and Skowron, A. (eds.): Rough-Fuzzy Hybridization. A New Trend in Decision Making, Springer-Verlag, Singapore (1999)
Pawlak, Z.: Rough sets-Theoretical Aspects of Reasoning about Data. Kluwer, Dordrecht (1991)
Peters, J.F., Skowron, A., Suraj, Z., Pedrycz, W., Ramanna, S.: Approximate Real-Time Decision Making: Concepts and Rough Fuzzy Petri Net Models. International Journal of Intelligent Systems 14-4 (1998) 4–37
Peters, J.F., Skowron, A., Suraj, Z.: An Application of Rough Set Methods in Control Design. Fundamenta Informaticae (to appear)
Polkowski, L., Skowron, A. (eds.): Rough Sets in Knowledge Discovery 2. Applications, Case Studies and Software Systems. Physica-Verlag, Heidelberg (1998)
Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: SFlowiński, R. (ed.): Intelligent Decision Support: Handbook of Applications and Advances of Rough Sets Theory, Kluwer, Dordrecht (1992) 331–362
Skowron, A., Suraj, Z.: Rough Sets and Concurrency. Bulletin of the Polish Academy of Sciences 41-3 (1993) 237–254
Skowron, A., Suraj, Z.: A Parallel Algorithm for Real-Time Decision Making: A Rough Set Approach. Journal of Intelligent Information Systems 7, Kluwer, Dordrecht (1996) 5–28
Suraj, Z.: An Application of Rough Set Methods to Cooperative Information Systems Re-engineering. In: Tsumoto, S., Kobayashi, S., Yokomori, T., Tanaka, H., Nakamura, A. (eds.): Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets and Machine Discovery (RSFD-96), Tokyo (1996) 364–
Suraj, Z.: Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach. Fundamenta Informaticae 28-3,4 (1996) 353–376
Suraj, Z.: Reconstruction of Cooperative Information Systems under Cost Constraints: A Rough Set Approach. Journal of Information Sciences 111 (1998) 273–291
Suraj, Z.: The Synthesis Problem of Concurrent Systems Specified by Dynamic Information Systems. In: 8 418–448
Suraj, Z.: Rough Set Methods for the Synthesis and Analysis of Concurrent Processes, ICS PAS Reports 893 (1999). Also in: Polkowski, L. (eds.): Studies in Fuzziness and Soft Computing, Physica-Verlag, Heidelberg (to appear)
Wegener, I.: The complexity of Boolean functions. Wiley and B.G. Teubner, Stuttgart (1987)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Suraj, Z. (2001). Some Remarks on Extensions and Restrictions of Information Systems. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_24
Download citation
DOI: https://doi.org/10.1007/3-540-45554-X_24
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43074-2
Online ISBN: 978-3-540-45554-7
eBook Packages: Springer Book Archive