A Rough Set Approach to Reasoning about Data

International Journal of Intelligent Systems

Volumn 16, Issue 1, 2001, Pages 1-2

  Peters, J F ^a,b   Skowron, A ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

^b UNIVERSITY OF WARSAW   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0008474948     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/1098-111X(200101)16:1<1::AID-INT1>3.0.CO;2-R     Document Type: Article

References (13)

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4. Pawlak Z, Skowron A. Rough membership functions. In Yager R, Fedrizzi M, Kacprzyk J, editors. Advances in the Dempster-Shafer theory of evidence. New York: John Wiley & Sons; 1994. p 251-271.
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6. Polkowski L, Skowron A, editors. Rough sets in knowledge discovery, volumes 1 and 2, Berlin: Springer-Verlag; 1998.
7. Pawlak Z, Skowron A, Rough membership functions. In: Yager R, Fedrizzi M, Kacprzyk J, editors. Advances in the Dempster-Shafer theory of evidence. New York: John Wiley & Sons; 1994. p 251-271.
8. Ras ZW. Skowron A, editors. Foundations of intelligent systems, Berlin: Springer-Verlag; 1999.
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10. Peters JF, Pedrycz W, editors. Computational intelligence in software engineering. Singapore: World Scientific; 1998.
11. Skowron A, Stepaniuk J. Information granules and approximation spaces. Proc 7th Int Conf on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU); 1998. p 1354-1361.
12. Zong N, Skowron A, Ohsuga S, editors. New directions in rough sets, data mining, and granular-soft computing. Berlin: Springer-Verlag; 1999.
13. Polkowski L, Skowron A, editors. Rough sets in knowledge discovery vol. 2. Berlin: Springer-Verlag; 1998.