An application for knowledge discovery based on arevision of VPRS model

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

Volumn 2005, Issue , 2001, Pages 296-303

  Gálvezl, Juan F ^a   Diazl, Fernando ^a   Carrión, Pilar ^a   Garcia, Angel ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

KNOWLEDGE BASIS; KNOWLEDGE REDUCTION; UNIVERSITY STUDENTS; VARIABLE PRECISION ROUGH SETS;

ROUGH SET THEORY;

EID: 53749086006     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45554-X_36     Document Type: Conference Paper

References (11)

1. Pawlak, Z.: Rough Sets. International Journal of Computer and Information Sciences, 11, pp. 341-346, 1982.
2. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht, 1991.
3. Ziarko, W.: Variable Precision Rough Set Model. Journal of Computer and System Sciences, 46, pp. 39-59, 1993.
4. Ziarko, W.: Analysis of Uncertain Information in the Framework of Variable Precision Rough. Foundations of Computing and Decision Sciences, 18, no. 3-4, pp. 381-396, 1993.
5. GBlvez, J.F., Garcia, A.: A Revision of Knowledge Equivalence Characterisation under the Variable Precision Rough Set Model. In Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics. ISAS'98, vol. 2, pp. 270-273, Orlando, FL (USA), 1998.
6. GBlvez, J.F.: Definicio'n de un Modelo de Adquisicio'n del conocimiento en Sistemas Causales basado en Conjuntos Aproximados de Precisio'n Variable. Doctoral Thesis, University of Vigo, 1999.
7. GBlvez, J.F., Diaz, F., Carribn F, Garcia, A.: A new model based on VPRS Theory for improving classification. In Proceedings of the eighth International Conference on Information Processing and Management of Uncertainty in Knowledge- based systems. IPMU'2000, vol. 3, pp. 1953-1956, Madrid (Spain), 2000.
8. Pawlak, Z.: Granularity of Knowledge, Indiscernibility and Rough Sets. IEEE, pp. 106-110, 1998.
9. GBlvez, J.F., Garcia, A.: Using Rough Sets to Analyse Lack of Success in Academic Achievement. In Proceedeings of the World Multiconference on Systemics, Cybernetics and Informatics. ISAS'97, 1997.
10. Pawlak, Z.: Rough Sets. Present State and Perspectives. In Proceedings of the sixth International Conference on Information Processing and Management of Uncertainty in Knowledge- based systems. IPM U'1996, pp. 1137-1145, Granada (Spain), 1996.
11. Diaz, F., Corchado, J.M.: Rough Set based Learning for Bayesian networks. International Workshop on Objective Bayesian Methodology, Valencia (Spain), 1999.