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Volumn 34, Issue 3, 2008, Pages 1698-1706

Learning cross-level certain and possible rules by rough sets

Author keywords

Certain rule; Hierarchical value; Machine learning; Possible rule; Rough set

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BOUNDARY CONDITIONS; LEARNING SYSTEMS; LOGIC PROGRAMMING;

EID: 37349011312     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.01.038     Document Type: Article
Times cited : (41)

References (18)
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    • Hirano, S., Sun, X., Tsumoto, S. (2002). Dealing with multiple types of expert knowledge in medical image segmentation: A rough sets style approach. In The 2002 IEEE international conference on fuzzy system (Vol. 2, pp. 884-889).
  • 6
    • 0000742181 scopus 로고    scopus 로고
    • Knowledge acquisition from quantitative data using the rough-set theory
    • Hong T.P., Wang T.T., and Wang S.L. Knowledge acquisition from quantitative data using the rough-set theory. Intelligent Data Analysis 4 (2000) 289-304
    • (2000) Intelligent Data Analysis , vol.4 , pp. 289-304
    • Hong, T.P.1    Wang, T.T.2    Wang, S.L.3
  • 7
    • 0029709673 scopus 로고    scopus 로고
    • Lambert-Torres, G., Alves da Silva, A. P., Quintana, V. H., & Borges da Silva, L. E. (1996). Knowledge-base reduction based on rough set techniques. In The Canadian conference on electrical and computer engineering (pp. 278-281).
  • 8
    • 0035791937 scopus 로고    scopus 로고
    • Lee, C. H., Swo, H., & Choi, S. C. (2001). Rule discovery using hierarchical classification structure with rough sets. In The 9th IFSA world congress and the 20th NAFIPS international conference (Vol. 1, pp. 447-452).
  • 14
    • 0030393936 scopus 로고    scopus 로고
    • Pawlak, Z. (1996). Why rough sets? In The fifth IEEE international conference on fuzzy systems (Vol. 2, pp. 738-743).
  • 15
    • 0031645078 scopus 로고    scopus 로고
    • Tsumoto, S. (1998). Knowledge discovery in medical databases based on rough sets and attribute-oriented generalization. In The 1998 IEEE international conference on fuzzy systems (Vol. 2, pp. 1296-1301).
  • 16
    • 0000719753 scopus 로고    scopus 로고
    • Extraction of experts' decision rules from clinical databases using rough set model
    • Tsumoto S. Extraction of experts' decision rules from clinical databases using rough set model. Intelligent Data Analysis 2 (1998) 215-227
    • (1998) Intelligent Data Analysis , vol.2 , pp. 215-227
    • Tsumoto, S.1
  • 17
    • 0032591673 scopus 로고    scopus 로고
    • Yao, Y. Y. (1999). Stratified rough sets and granular computing. In The 18th international conference of the North American (pp. 800-804).
  • 18
    • 0031644818 scopus 로고    scopus 로고
    • Zhong, N., Dong, J. Z., Ohsuga, S., & Lin, T. Y. (1998). An incremental, probabilistic rough set approach to rule discovery. In The IEEE international conference on fuzzy systems (Vol. 2, pp. 933-938).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.