Approximation spaces and information granulation

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

Volumn 3400 LNCS, Issue , 2005, Pages 175-189

  Skowron, Andrzej ^a   Świniarski, Roman ^b,c   Synak, Piotr ^d  

^a UNIVERSITY OF WARSAW   (Poland)

^b INSTITUTE OF COMPUTER SCIENCE   (Poland)

^c SAN DIEGO STATE UNIVERSITY   (United States)

^d POLISH JAPANESE INSTITUTE OF INFORMATION TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; FUNCTION EVALUATION; ROUGH SET THEORY;

COMPLEX INFORMATION; INFORMATION GRANULATION;

INFORMATION ANALYSIS;

EID: 36849033346     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11427834_8     Document Type: Article

References (15)

1. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Volume 9 of System Theory, Knowledge Engineering and Problem Solving. Kluwer Academic Publishers, Dordrecht, The Netherlands (1991)
2. Skowron, A., Stepaniuk, J.: Tolerance approximation spaces. Fundamenta Informaticae 27 (1996) 245-253
3. Polkowski, L., Skowron, A.: Rough mereology: A new paradigm for approximate reasoning. International Journal of Approximate Reasoning 15 (1996) 333-365
4. Polkowski, L., Skowron, A.: Towards adaptive calculus of granules. In Zadeh, L.A., Kacprzyk, J., eds.: Computing with Words in Information/Intelligent Systems. Physica-Verlag, Heidelberg, Germany (1999) 201-227
5. Skowron, A., Stepaniuk, J.: Information granules and rough-neural computing. In [10] 43-84
6. Lin, T.Y.: The discovery, analysis and representation of data dependencies in databases. In Polkowski, L., Skowron, A., eds.: Rough Sets in Knowledge Discovery 1: Methodology and Applications. Volume 18 of Studies in Fuzziness and Soft Computing. Physica-Verlag, Heidelberg, Germany (1998) 107-121
7. Ziarko, W.: Variable precision rough set model. Journal of Computer and System Sciences 46 (1993) 39-59
8. Peters, J.F., Skowron, A., Synak, P., Ramanna, S.: Rough sets and information granulation. In Bilgic, T., Baets, D., Kaynak, O., eds.: Tenth International Fuzzy Systems Association World Congress IFSA, Istanbul, Turkey, June 30-July 2. Volume 2715 of Lecture Notes in Artificial Intelligence. Springer-Verlag, Heidelberg, Germany (2003) 370-377
9. Skowron, A.: Toward intelligent systems: Calculi of information granules. Bulletin of the International Rough Set Society 5 (2001) 9-30
10. Pal, S.K., Polkowski, L., Skowron, A., eds.: Rough-Neural Computing: Techniques for Computing with Words. Cognitive Technologies. Springer-Verlag, Heidelberg, Germany (2003)
11. Zadeh, L. A.: A new direction in AI: Toward a computational theory of perceptions. AI Magazine 22 (2001) 73-84
12. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. John Wiley & Sons, New York, NY (2001)
13. Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag, Heidelberg, Germany (2001)
14. Kloesgen, W., Zytkow, J., eds.: Handbook of Knowledge Discovery and Data Mining. Oxford University Press, New York, NY (2002)
15. Slowinski, R., Greco, S., Matarazzo, B.: Rough set analysis of preference-ordered data. In Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N., eds.: Third International Conference on Rough Sets and Current Trends in Computing RSCTC, Malvern, PA, October 14-16, 2002. Volume 2475 of Lecture Notes in Computer Science. Springer-Verlag, Heidelberg, Germany (2002) 44-59