Abstract
A classification of the different dynamics which can arise in rough sets is given, starting from three different standpoints: information tables, approximation spaces and coverings. Dynamics is intended in two broad meanings: evolution in time and originated from different sources. Existing works on this topic are then categorized accordingly.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bianucci, D., Cattaneo, G.: Information entropy and granulation co-entropy of partitions and coverings: A summary. In: Peters, J.F., Skowron, A., Wolski, M., Chakraborty, M.K., Wu, W.-Z. (eds.) Transactions on Rough Sets X. LNCS, vol. 5656, pp. 15–66. Springer, Heidelberg (2009)
Blaszczynski, J., Slowinski, R.: Incremental induction of decision rules from dominance-based rough approximations. Electr. Notes Theor. Comput. Sci. 82(4), 40–51 (2003)
Cattaneo, G., Ciucci, D.: Investigation about Time Monotonicity of Similarity and Preclusive Rough Approximations in Incomplete Information Systems. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 38–48. Springer, Heidelberg (2004)
Geng, Z., Zhu, Q.: A multi-agent method for parallel mining based on rough sets. In: Proceedings of the 6th World Congress on Intelligent Control and Automation, pp. 5977–5980 (2006)
Grzymala-Busse, J., Grzymala-Busse, W.: Inducing better rule sets by adding missing attribute values. In: Chan, C.-C., Grzymala-Busse, J.W., Ziarko, W.P. (eds.) RSCTC 2008. LNCS (LNAI), vol. 5306, pp. 160–169. Springer, Heidelberg (2008)
Khan, M., Banerjee, M.: Formal reasoning with rough sets in multiple-source approximation systems. International Journal of Approximate Reasoning 49, 466–477 (2008)
Liu, D., Li, T., Ruan, D., Zou, W.: An incremental approach for inducing knowledge from dynamic information systems. Fundamenta Informaticae 94, 245–260 (2009)
Orlowska, E.: Dynamic information systems. Fundamenta Informaticae 5, 101–118 (1982)
Pagliani, P.: Pretopologies and dynamic spaces. Fundamenta Informaticae 59(2-3), 221–239 (2004)
Pawlak, Z.: Information systems - theoretical foundations. Information Systems 6, 205–218 (1981)
Qian, Y., Liang, J., Dang, C.: Incomplete multigranulation rough set. IEEE Transactions on Systems, Man and Cybernetics - PART A 40, 420–431 (2010)
Qian, Y., Liang, J., Yao, Y., Dang, C.: MGRS: A multi-granulation rough set. Information Sciences 180, 949–970 (2010)
Rauszer, C.: Rough logic for multi-agent systems. In: Logic at Work 1992. LNCS (LNAI), vol. 808, pp. 161–181. Springer, Heidelberg (1994)
Shan, N., Ziarko, W.: Data-based acquisition and incremental modification of classification. Computational Intelligence 11, 357–370 (1995)
Yao, Y.: Relational interpretations of neighborhood operators and rough set approximation operators. Information Sciences 111, 239–259 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ciucci, D. (2010). Classification of Dynamics in Rough Sets. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds) Rough Sets and Current Trends in Computing. RSCTC 2010. Lecture Notes in Computer Science(), vol 6086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13529-3_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-13529-3_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13528-6
Online ISBN: 978-3-642-13529-3
eBook Packages: Computer ScienceComputer Science (R0)