Abstract
We present some applications of a method for synthesis of concurrent models from the specification given by an information system and/or decision rules. A solution generated by the method for the well known problem in concurrency is represented by colored Petri nets (CP-nets, in short). The method allows to generate automatically an appropriate CP-net from the specification given by an information system and/or decision rules. This kind of specification should be more convenient for the designers of concurrent systems than directly drawing a Petri net, especially in cases of large in size net models. The CP-nets produced automatically by the application of the method are sometimes not in the optimal form and some modification procedure could be applied to get more optimal solutions. This problem is also discussed in the paper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Rough Set Database System (Option: Software), http://rsds.univ.rzeszow.pl
CPN Tools Homepage, http://cpntools.org/
RSES Homepage: http://logic.mimuw.edu.pl/rses
ROSETTA Homepage: http://idi.ntu.no/aleks/rosetta
Cios, K., Pedrycz, W., Świniarski, R.: Data Mining. Methods for Knowledge Discovery. Kluwer Academic Publishers, Dordrecht (1998)
Delimata, P., Moshkov, M., Skowron, A., Suraj, Z.: Inhibitory Rules in Data Analysis. In: A Rough Set Approach. Springer, Heidelberg (2009)
Jensen, K.: Coloured Petri Nets, vol. 1-3. Springer, Heidelberg (1997)
Kodratoff, Y., Michalski, R. (eds.): Machine Learning 3. Morgan Kaufmann Publ., San Francisco (1990)
Moshkov, M., Skowron, A., Suraj, Z.: Maximal consistent extensions of information systems relative to their theories. Information Sciences 178(12), 2600–2620 (2008)
Pancerz, K., Suraj, Z.: Discovering concurrent models from data tables with the ROSECON system. Fundamenta Informaticae 60(1-4), 251–268 (2004)
Pancerz, K., Suraj, Z.: Rough sets for discovering concurrent system models from data tables. In: Hassanien, A. et al. (eds.) Rough Computing. Theories, Technologies and Applications, pp. 239–268. Information Science Reference, Hershey (2008)
Pawlak, Z.: Rough Sets. In: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)
Pawlak, Z.: Concurrent versus sequential - the rough sets perspective. Bulletin of EATCS 48, 178–190 (1992)
Reisig, W.: Petri Nets. Springer, Berlin (1985)
Skowron, A., Suraj, Z.: Rough sets and concurrency. Bulletin of the Polish Academy of Sciences, Technical Sciences 41(3), 237–254 (1993)
Skowron, A., Suraj, Z.: Synthesis of concurrent systems specified by information systems. ICS Report 4 (1993)
Skowron, A.: Discovery of process models from data and domain knowledge: A rough-granular approach. In: Ghosh, A., De, R., Pal, S. (eds.) PReMI 2007. LNCS, vol. 4815, pp. 192–197. Springer, Heidelberg (2007)
Suraj, Z.: Rough set methods for the synthesis and analysis of concurrent processes. In: Polkowski, L. (ed.) Rough Set Methods and Applications, pp. 379–488. Springer, Berlin (2000)
Suraj, Z.: Discovering concurrent process models in data: A rough set approach. In: Sakai, H., Chakraborty, M.K., Hassanien, A.E., Ślęzak, D., Zhu, W. (eds.) RSFDGrC 2009. LNCS(LNAI), vol. 5908, pp. 12–19. Springer, Heidelberg (2009)
Swiniarski, R.W., Skowron, A.: Rough set methods in feature selection and recognition. Pattern Recognition Letters 24(6), 833–849 (2003)
Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J. (eds.): RSCTC 2004. LNCS(LNAI), vol. 3066. Springer, Heidelberg (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Suraj, Z., Pancerz, K. (2011). Synthesis of Synchronized Concurrent Systems Specified by Information Systems. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_79
Download citation
DOI: https://doi.org/10.1007/978-3-642-24425-4_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24424-7
Online ISBN: 978-3-642-24425-4
eBook Packages: Computer ScienceComputer Science (R0)