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Volumn 10, Issue 5, 2006, Pages 657-665

Structure-Based Attribute Reduction in Variable Precision Rough Set Models

Author keywords

boundary region; lower approximation; reduct; upper approximation; variable precision rough set

Indexed keywords

APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE;

EID: 47549104772     PISSN: 13430130     EISSN: 18838014     Source Type: Journal    
DOI: 10.20965/jaciii.2006.p0657     Document Type: Article
Times cited : (8)

References (10)
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  • 2
    • 26944493770 scopus 로고    scopus 로고
    • Several approaches to attribute reduction in variable precision rough set model
    • Tsukuba, Japan, July 25-27, Berlin, Germany: Springer-Verlag, 2005
    • M. Inuiguchi, “Several approaches to attribute reduction in variable precision rough set model,” Modeling Decisions for Artificial Intelligence (MDAI 2005), Tsukuba, Japan, July 25-27, 2005, Berlin, Germany: Springer-Verlag, pp. 215-226, 2005.
    • (2005) Modeling Decisions for Artificial Intelligence (MDAI 2005) , pp. 215-226
    • Inuiguchi, M.1
  • 4
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    • Semantics-preserving dimensionality reduction: Rough and fuzzy-rough-based approaches
    • R. Jensen and Q. Shen, “Semantics-preserving dimensionality reduction: Rough and fuzzy-rough-based approaches,” IEEE Trans. Knowledge and Data Engineering, Vol.16, No.12, pp. 1457-1471, 2004.
    • (2004) IEEE Trans. Knowledge and Data Engineering , vol.16 , Issue.12 , pp. 1457-1471
    • Jensen, R.1    Shen, Q.2
  • 6
    • 0002395767 scopus 로고
    • The discernibility matrix and functions in information systems
    • R. Słowiński (Ed), Dordrecht, The Netherlands: Kluwer Academic Publishers
    • A. Skowron and C. M. Rauser, “The discernibility matrix and functions in information systems,” in R. Słowiński (Ed.), “Intelligent Decision Support,” Dordrecht, The Netherlands: Kluwer Academic Publishers, pp. 331-362, 1992.
    • (1992) Intelligent Decision Support , pp. 331-362
    • Skowron, A.1    Rauser, C. M.2
  • 7
    • 0038368682 scopus 로고    scopus 로고
    • Various approaches to reasoning with frequency based decision reducts: a survey
    • L. Polkowski, S. Tsumoto, T. Y. Lin (Eds), Heidelberg, Germany: Physica-Verlag
    • D. Śle¸zak, “Various approaches to reasoning with frequency based decision reducts: a survey,” in L. Polkowski, S. Tsumoto, T. Y. Lin (Eds.), “Rough Set Methods and Applications,” Heidelberg, Germany: Physica-Verlag, pp. 235-285, 2000.
    • (2000) Rough Set Methods and Applications , pp. 235-285
    • Śle¸zak, D.1
  • 8
    • 18944404537 scopus 로고    scopus 로고
    • Attribute reduction in the Bayesian version of variable precision rough set model
    • [Online]
    • D. Śle¸zak and W. Ziarko, “Attribute reduction in the Bayesian version of variable precision rough set model,” Electr. Notes Theor. Comput. Sci., Vol.82, No.4, 2003. [Online] http://www.sciencedirect.com/science/journal/15710661
    • (2003) Electr. Notes Theor. Comput. Sci , vol.82 , Issue.4
    • Śle¸zak, D.1    Ziarko, W.2
  • 10
    • 0027543613 scopus 로고
    • Variable precision rough set model
    • W. Ziarko, “Variable precision rough set model,” J. Comput. Syst. Sci., Vol.46, No.1, pp. 39-59, 1993.
    • (1993) J. Comput. Syst. Sci , vol.46 , Issue.1 , pp. 39-59
    • Ziarko, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.