Concept lattices in rough set theory

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2, Issue , 2004, Pages 796-801

  Yao, Y Y ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; FUNCTIONS; MATHEMATICAL OPERATORS; ROUGH SET THEORY; SET THEORY;

APPROXIMATION OPERATORS; BINARY RELATIONS; CONCEPT LATTICES;

DATA REDUCTION;

EID: 4544322033     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/nafips.2004.1337404     Document Type: Conference Paper

References (13)

1. Düntsch, I. and Gediga, G. Approximation operators in qualitative data analysis, in: Theory and Application of Relational Structures as Knowledge Instruments, de Swart, H., Orlowska, E., Schmidt, G. and Roubens, M. (Eds.), Springer, Heidelberg, 216-233, 2003.
2. Ganter, B. and Wille, R. Formal Concept Analysis, Mathematical Foundations, Springer, Berlin, 1999.
3. Gediga, G. and Düntsch, I. Modal-style operators in qualitative data analysis, Proceedings of the 2002 IEEE International Conference on Data Mining, 155-162, 2002.
4. Hu, K., Sui, Y., Lu, Y., Wang, J. and Shi, C. Concept approximation in concept lattice, Knowledge Discovery and Data Mining, Proceedings of the 5th Pacific-Asia Conference, PAKDD 2001, Lecture Notes in Computer Science 2035, 167-173, 2001.
5. Kent, R.E. Rough concept analysis: a synthesis of rough sets and formal concept analysis, Fundamenta Informaticae, 27, 169-181, 1996.
6. Saquer, J. and Deogun, J.S. Formal rough concept analysis, New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, 7th International Workshop, RSFDGrC '99, Lecture Notes in Computer Science 1711, Springer, Berlin, 91-99, 1999.
7. Pawlak, Z. Rough sets, International Journal of Computer and Information Sciences, 11, 341-356, 1982.
8. Pawlak, Z. Rough Sets, Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht, 1991.
9. Wille, R. Restructuring lattice theory: an approach based on hierarchies of concepts, in: Ordered Sets, Rival, I. (Ed.), Reidel, Dordrecht-Boston, 445-470, 1982.
10. Yao, Y.Y. A comparative study of formal concept analysis and rough set theory in data analysis, manuscript, 2004.
11. Yao, Y.Y. and Y. Chen, Rough set approximation in formal concept analysis, manuscript, 2004.
12. Yao, Y.Y. and Lin, T.Y., Generalization of rough sets using modal logic, Intelligent Automation and Soft Computing, An International Journal, 2, 103-120, 1996.
13. Yao, Y.Y, Wong, S.K.M. and Lin, T.Y. A review of rough set models, in: Rough Sets and Data Mining: Analysis for Imprecise Data, Lin, T. Y. and Cercone, N. (Eds.), Kluwer Academic Publishers, Boston, 47-75, 1997.