Emergent rough set data analysis

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

Volumn 3135, Issue , 2004, Pages 343-361

  Hassan, Yasser ^a   Tazaki, Eiichiro ^a  

^a TOIN UNIVERSITY OF YOKOHAMA   (Japan)

Author keywords

Discretization; Emergent behavior; Reduct; Rough sets; Rule induction

Indexed keywords

EID: 34548710589     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27778-1_17     Document Type: Article

References (17)

1. Angeline, Peter J. Genetic programming and emergent intelligence, in: K. E. Kinnear, Jr.(ed.), Advances in Genetic Programming, MIT Press, 1994
2. Egawa, S., Suyama, K., Yoichi, A., Matsumoto, K., Tsukayama, C., Kuwao, S., and Baba, S., A study of pretreatment nomograms to predict pathological stage and biochemical recurrence After radical prostatectomy for clinically resectable prostate cancer in Japanese men, Japan Journal of Clinical Oncology 31(2) (2001) 74-81
3. Egawa, S., Suyama, K., Matsumoto, K., et. al, Improved predictability of extracapsular extension and seminal vesicle involvement based on clinical and biopsy findings in prostate cancer in Japanese men, Urology 52(3) (1998) 433-40
4. Gotts, N., Emergent phenomena in large sparse random arrays of Conway's 'Game of Life', International Journal of System Science 31(7) (2000) 873-894
5. Hanson, J., Crutchfield, J., Computational mechanics of cellular automata: An example, Physica D103 (1997) 169-189
6. Hassan, Y., Tazaki, E., Knowledge discovery using rough set combined with genetic programming, Proceeding of RSTGC'2001 International Conference 5(1) (2001) 75-79
7. Hassan, Y., Tazaki, E., Emergence in combined system structure of rough set theory and genetic programming, in: N. Baba, L. C. Jain, R. D. Howlett (Eds.), Proceeding of Knowledge-based Intelligent Information Engineering Systems & Allied Technologies: International Conference KES' 2001, Part 2, IOS press, 2001, pp.1458-1462
8. Hassan, Y., Tazaki, E., Adaptive behavior in cellular automata using rough set theory, Applied Artificial Intelligence Journal 17(2) (2003) 1-21
9. Hassan, Y., Tazaki, E., Emergence computation using new model of cellular automata, Applied Artificial Intelligence Journal, 17(1) (2003) 39-69
10. Olson, R., Sequeira, R., Emergent computation and the modeling and management of ecological systems, Computers and Electronics in Agriculture 12 (1995) 183-209
11. Pawlak, Z., Rough sets, International Journal of Computer and Information Science 11(5) (1982) 341-356
12. Polkowski, L., Skowron, A. (Eds.), Rough Sets in Knowledge Discovery, PhysicaVerlag, Heidelberg, 1998
13. Polkowski, L., Tsumoto, S., Lin, Y., (Eds), Rough Set Methods and Applications, Physica-Verlag, Heidelberg, 2000
14. Rocha, L., Joslyn, C., Simulations of embodied evolving semiosis: Emergent semantics in artificial environments, The Proceedings of the Conference on Virtual Worlds and Simulation, 1998, pp.233-238
15. Sipper, M., Studying artificial life using a simple, general cellular model, Artificial Life Journal 2(1) (1995) 1-35
16. Thornton, C., Brave mobots use representation: Emergence of representation in fight-or-flight learning, Minds and Machines 7 (1997) 475-494
17. Ziarko, W. (Ed.), Rough Sets, Fuzzy Sets, and Knowledge Discovery, SpringerVerlag, Berlin, 1994