Rough-set-based approaches to data containing incomplete information: Possibility-based cases

Frontiers in Artificial Intelligence and Applications

Volumn 132, Issue , 2005, Pages 234-241

  Nakata, Michinori ^a   Sakai, Hiroshi ^b  

^a JOSAI INTERNATIONAL UNIVERSITY   (Japan)

^b KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Incomplete information; Missing values; Possibilty based interpretation; Rough sets

Indexed keywords

EID: 34250716683     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (12)

1. Dubois, D. and Prade, H. [1991] Fuzzy Sets in Approximating, Part 1: Inference with Possibility Distributions. Fuzzy Sets and Systems, 40, 143-202.
2. Gediga, G. and Düntsch, I. [2001] Rough Approximation Quality Revisited, Artificial Intelligence, 132, 219-234.
3. Grzymala-Busse, J. W. [1991] On the Unknown Attribute Values in Learning from Examples, in Ras, M. Zemankova, (eds.), Methodology for Intelligent Systems, ISMIS '91, Lecture Notes in Artificial Intelligence 542, Springer-Verlag, 368-377.
4. Imielinski, T. and Lipski, W. [1984] Incomplete Information in Relational Databases, Journal of the ACM, 31: 4, 761-791.
5. Kryszkiewicz, M. [1999] Rules in Incomplete Information Systems, Information Sciences, 113, 271-292.
6. Nakata, M. [2004] Some Issues on Rough-set-based Approaches to Data Containing Incomplete Information, Proceedings of SCIS & ISIS 2004, Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems, THP-8-4(6 pages).
7. Parsons, S. [1996] Current Approaches to Handling Imperfect Information in Data and Knowledge Bases, IEEE Transactions on Knowledge and Data Engineering, 83, 353-372.
8. Pawlak, Z. [1991] Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers 1991.
9. Sakai, H. [1998]Some Issues on Nondeterministic Knowledge Bases with Incomplete Information, in: Proceedings of RSCTC'98, Polkowski, L. and Skowron, A., eds., Lecture Notes in Artificial Intelligence Vol. 1424, Springer-Verlag 1998, pp. 424-431.
10. Słowinski, R. and Stefanowski, J. [1989]Rough Classification in Incomplete Information Systems, Mathematical and Computer Modelling, 12: 10/11, 1347-1357.
11. Stefanowski, J. and Tsoukiàs, A. [2001]Incomplete Information Tables and Rough Classification, Computational Intelligence, 17: 3, 545-566.
12. Zimányi, E. and Pirotte, A. [1997] Imperfect Information in Relational Databases, in Uncertainty Management in Information Systems: From Needs to Solutions, A. Motro and P. Smets, eds., Kluwer Academic Publishers, 1997, pp. 35-87.