Some properties of relation information systems under homomorphisms

Applied Mathematics Letters

Volumn 21, Issue 9, 2008, Pages 940-945

  Wang, Changzhong ^a   Wu, Congxin ^a   Chen, Degang ^b   Du, Wenju ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^c SICHUAN COLLEGE OF ARCHITECTURAL TECHNOLOGY   (China)

Author keywords

Consistent functions; Homomorphism; Reduction; Relation information systems; Relation mappings

Indexed keywords

ARTIFICIAL INTELLIGENCE; FUNCTIONS; INFORMATION SCIENCE; MATHEMATICAL MODELS; THEOREM PROVING;

ORIGINAL SYSTEMS;

INFORMATION SYSTEMS;

EID: 47049085733     PISSN: 08939659     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aml.2007.10.006     Document Type: Article

References (11)

1. J.W. Graymala-Busse, Algebraic properties of knowledge representation systems, in: Proceedings of the ACM SIGART International Symposium on Methodologies for Intelligent Systems, Knoxville, 1986, pp. 432-440
2. Graymala-Busse Jr. J.W., and Sedelow W.A. On rough sets, and information system homomorphism. Bull. Pol. Acad. Sci. Tech. Sci. 36 3, 4 (1988) 233-239
3. Hu Q., Yu D., and Xie Z. Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern Recognition Lett. 27 (2006) 414-423
4. Li D.Y., and Ma Y.C. Invariant characters of information systems under some homomorphisms. Inform. Sci. 129 (2000) 211-220
5. T.Y. Lin, Neighborhood systems and approximation in database and knowledge base systems, in: Proceedings of the Fourth International Symposium on Methodologies of Intelligent Systems, Charlotte, 1989, pp. 75-86
6. Pawlak Z. Rough Sets, Theoretical Aspects of Reasoning about Data (1991), Kluwer Academic Publishers, Dordrecht
7. Pawlak Z. Rough sets. Internat. J. Comput. Inform. Sci. 11 (1982) 341-356
8. In: Pal S.K., and Skowron A. (Eds). Rough-Fuzzy Hybridization: A New Trend in Decision Making (1999), Springer, Berlin
9. P. Pagliani, Transforming information systems, in: Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Canada, 2005, pp. 660-670
10. Slezak D. Searching for dynamic reducts in inconsistent decision tables. Proceedings of IPMU' 98, France vol. 2 (1998) 1362-1369
11. Wu W.Z., Zhang M., Li H.Z., and Mi J.S. Knowledge reduction in random information systems via Dempster-Shafer theory of evidence. Inform. Sci. 174 (2005) 143-164