On the extension of rough sets under incomplete information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1711, Issue , 1999, Pages 73-82

  Stefanowski, Jerzy ^a   Tsoukiàs, Alexis ^b  

^a POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b UNIVERSITÉ PARIS DAUPHINE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATA MINING; SOFT COMPUTING;

INCOMPLETE INFORMATION; INDISCERNIBILITY RELATION; NON-SYMMETRIC SIMILARITY RELATIONS; TOLERANCE RELATIONS; VALUED TOLERANCE RELATIONS;

ROUGH SET THEORY;

EID: 84958060855     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48061-7_11     Document Type: Conference Paper

References (8)

1. Dubois D., Lang J., Prade H., Fuzzy sets in approximate reasoning Fuzzy Sets and Systems 40(1991), 203–244.
2. Grzymala-Busse J. W. On the unknown attribute values in learning from examples. Proc. of Int. Symp. on Methodologies for Intelligent Systems, 1991, 368–377
3. Kryszkiewicz M., Rough set approach to incomplete information system. Information Sciences 112 (1998), 39–49.
4. Kryszkiewicz M., Properties of incomplete information systems in the framework of rough sets. In Polkowski L., Skowron A. (eds.) Rough Sets in Data Mining and Knowledge Discovery, Physica-Verlag, 1998, 422–450.
5. Pawlak Z., Rough sets. Int. J. Computer and Information Sci., 11, 1982, 341–356.
6. Pawlak Z., Rough sets. Theoretical aspects of reasoning about data. Kluwer, 1991.
7. Słowiński R., Stefanowski J., Rough classification in incomplete information systems. Math. Computing Modelling, 12 (10/11), 1989, 1347-1357.
8. Słowiński R., Vanderpooten D., A generalized definition of rough approximation based on similarity. IEEE Transactions on Data and Knowledge Engineering, 1999 (to apear).