Summary
The aim of the chapter is to give the basic principles and issues of extensions of information and dynamic information systems. Information systems are understood in the Pawlak’s sense as the systems of knowledge representation. The extensions of information and dynamic information systems can be used in prediction problems. Assuming that objects of an information system represent states of a system of processes we can determine possibility of appearing new states in the system of processes in the future. Analogously, assuming that a dynamic information system includes, among others, information about transition between states of a system of processes, we can determine possibility of appearing new transitions between states in the future.
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References
Moshkov, M., Skowron, A., Suraj, Z.: On Testing Membership to Maximal Consistent Extensions of Information Systems. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 85–90. Springer, Heidelberg (2006)
Moshkov, M., Skowron, A., Suraj, Z.: Maximal Consistent Extensions of Information Systems Relative to Their Theories. Information Science 178, 2600–2620 (2008)
Pancerz, K., Suraj, Z.: Synthesis of Petri Net Models: A Rough Set Approach. Fundamenta Informaticae 55, 149–165 (2003)
Pancerz, K.: Consistency-Based Prediction Using Extensions of Information Systems - an Experimental Study. In: Proceedings of the Conference HSI 2008, IEEE Catalog Number: 08EX19995C (2008)
Pancerz, K.: Extensions of Dynamic Information Systems in State Prediction Problems: the First Study. In: Magdalena, L., Ojeda-Aciego, M., Verdegay, J.L. (eds.) Proceedings of the Conference IPMU 2008, pp. 101–108 (2008)
Pawlak, Z.: Rough Sets - Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, Dordrecht (1991)
Pawlak, Z.: Concurrent Versus Sequential the Rough Sets Perspective. Bulletin of the EATCS 48, 178–190 (1992)
Rza̧sa, W., Suraj, Z.: A New Method for Determining of Extensions and Restrictions of Information Systems. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 197–204. Springer, Heidelberg (2002)
Skowron, A., Suraj, Z.: Rough Sets and Concurrency. Bulletin of the Polish Academy of Sciences 41, 237–254 (1993)
Skowron, A., Suraj, Z.: Synthesis of Concurrent Systems Specified by Information Systems. Institute of Computer Science Research Report 39/94, Warsaw University of Technology, Poland (1994)
Suraj, Z.: Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach. Fundamenta Informaticae 28, 353–376 (1996)
Suraj, Z.: The Synthesis Problem of Concurrent Systems Specified by Dynamic Information Systems. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery, vol. 2, pp. 418–448. Physica-Verlag, Berlin (1998)
Suraj, Z.: Rough Set Methods for the Synthesis and Analysis of Concurrent Processes. In: Polkowski, L., Tsumoto, S., Lin, T.Y. (eds.) Rough Set Methods and Applications, pp. 379–488. Physica-Verlag, Berlin (2000)
Suraj, Z.: Some Remarks on Extensions and Restrictions of Information Systems. In: Ziarko, W.P., Yao, Y. (eds.) RSCTC 2000. LNCS, vol. 2005, pp. 204–211. Springer, Heidelberg (2001)
Suraj, Z., Pancerz, K., Owsiany, G.: On Consistent and Partially Consistent Extensions of Information Systems. In: Ślęzak, D., Wang, G., Szczuka, M.S., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 224–233. Springer, Heidelberg (2005)
Suraj, Z., Pancerz, K.: Some Remarks on Computing Consistent Extensions of Dynamic Information Systems. In: Kwaśnicka, H., Paprzycki, M. (eds.) Proceedings of the Conference ISDA 2005, pp. 420–425. IEEE Computer Society, Los Alamitos (2005)
Suraj, Z., Pancerz, K.: A New Method for Computing Partially Consistent Extensions of Information Systems: A Rough Set Approach. In: Proceedings of the Conference IPMU 2006, Editions EDK, Paris, pp. 2618–2625 (2006)
Suraj, Z., Pancerz, K.: Towards Efficient Computing Consistent and Partially Consistent Extensions of Information Systems. Fundamenta Informaticae 79, 553–566 (2007)
Zadeh, L.: Fuzzy Sets as the Basis for a Theory of Possibility. Fuzzy Sets and Systems 1, 3–28 (1978)
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Pancerz, K. (2009). Some Issues on Extensions of Information and Dynamic Information Systems. In: Abraham, A., Hassanien, AE., Snášel, V. (eds) Foundations of Computational Intelligence Volume 5. Studies in Computational Intelligence, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01536-6_4
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DOI: https://doi.org/10.1007/978-3-642-01536-6_4
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