A Concept of Multi Rough Sets Defined on Multi-contextual Information Systems-Reference-Cited by-同舟云学术

A Concept of Multi Rough Sets Defined on Multi-contextual Information Systems

Published:2016 Issue: Volume: Page:31-44
ISSN:1876-1100
Container-title:Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015)
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Author:

Intan Rolly

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-287-988-2_3

Reference9 articles.

1. Yao, Y.Y., Zhang, J.P.: Interpreting fuzzy membership functions in the theory of rough sets. In: Proceedings of RSCTC’00, pp. 50–57 (2000)

2. Intan, R., Yao, Y.Y., Mukaidono, M.: Generalization of rough sets using weak fuzzy similarity relations. In: Inuiguchi, M., Tsumoto, S., Hirano, S. (eds.) Rough Set Theory and Granular Computing, Studies in Fuzziness and Soft Computing, vol. 125, pp. 37–46. Physica-Verlag, Heidelberg (2003)

3. Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, Upper Saddle River (1995)

4. Intan, R., Mukaidono, M.: Multi rough sets based on multi-contexts of attributes. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC). Lecture Notes in Artificial Intelligence, vol. 2639, pp. 279–282. Springer, Heidelberg (2003)

5. Intan, R., Mukaidono, M.: Multi rough sets and generalizations of contexts in multi-contexts information system. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds.) Foundations of Intelligent Systems, Proceedings of the 14th International Symposium on Methodologies for Intelligent Systems (ISMIS). Lecture Notes in Artificial Intelligence, vol. 2871, pp. 174–178. Springer, Heidelberg (2003)