메뉴 건너뛰기




Volumn 20, Issue 5, 2003, Pages 287-297

Probabilistic approaches to rough sets

Author keywords

Belief functions; Decision theoretic rough set model; Granular computing; High order rules; Rough set approximations; Rule induction

Indexed keywords

APPROXIMATION THEORY; DECISION MAKING; INFORMATION ANALYSIS; PROBABILITY;

EID: 0242289559     PISSN: 02664720     EISSN: None     Source Type: Journal    
DOI: 10.1111/1468-0394.00253     Document Type: Article
Times cited : (316)

References (37)
  • 4
    • 0035501187 scopus 로고    scopus 로고
    • Rough approximation quality revisited
    • GEDIGA, G. and I. DÜNTSCH (2001) Rough approximation quality revisited, Artificial Intelligence, 132, 219-234.
    • (2001) Artificial Intelligence , vol.132 , pp. 219-234
    • Gediga, G.1    Düntsch, I.2
  • 8
    • 84941499230 scopus 로고
    • An information-theoretic analysis of relational databases - Part I: Data dependencies and information metric
    • LEE, T.T. (1987) An information-theoretic analysis of relational databases - part I: data dependencies and information metric, IEEE Transactions on Software Engineering, SE-13, 1049-1061.
    • (1987) IEEE Transactions on Software Engineering , vol.SE-13 , pp. 1049-1061
    • Lee, T.T.1
  • 13
    • 0002970340 scopus 로고
    • Rough membership functions
    • R.R. Yager, M. Fedrizzi and J. Kacprzyk (eds), New York: Wiley
    • PAWLAK, Z. and A. SKOWRON (1994) Rough membership functions, in Advances in the Dempster-Shafer Theory of Evidence, R.R. Yager, M. Fedrizzi and J. Kacprzyk (eds), New York: Wiley, 251-271.
    • (1994) Advances in the Dempster-Shafer Theory of Evidence , pp. 251-271
    • Pawlak, Z.1    Skowron, A.2
  • 15
    • 33744584654 scopus 로고
    • Induction of decision trees
    • QUINLAN, J.R. (1986) Induction of decision trees, Machine Learning, 1, 81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 16
    • 0010639042 scopus 로고
    • The relationship between the rough set theory and evidence theory
    • SKOWRON, A. (1989) The relationship between the rough set theory and evidence theory, Bulletin of Polish Academy of Sciences, Mathematics, 37, 87-90.
    • (1989) Bulletin of Polish Academy of Sciences, Mathematics , vol.37 , pp. 87-90
    • Skowron, A.1
  • 17
    • 0001535466 scopus 로고
    • The rough set theory and evidence theory
    • SKOWRON, A. (1990) The rough set theory and evidence theory, Fundamenta Informaticae, 13, 245-262.
    • (1990) Fundamenta Informaticae , vol.13 , pp. 245-262
    • Skowron, A.1
  • 18
    • 0002580328 scopus 로고
    • From rough set theory to evidence theory
    • R.R. Yager, M. Fedrizzi and J. Kacprzyk (eds), New York: Wiley
    • SKOWRON, A. and J. GRZYMALA-BUSSE (1994) From rough set theory to evidence theory, in Advances in the Dempster-Shafer Theory of Evidence, R.R. Yager, M. Fedrizzi and J. Kacprzyk (eds), New York: Wiley, 193-236.
    • (1994) Advances in the Dempster-Shafer Theory of Evidence , pp. 193-236
    • Skowron, A.1    Grzymala-Busse, J.2
  • 19
    • 0032291072 scopus 로고    scopus 로고
    • Automated extraction of medical expert system rules from clinical databases on rough set theory
    • TSUMOTO, S. (1998) Automated extraction of medical expert system rules from clinical databases on rough set theory, Information Sciences, 112, 67-84.
    • (1998) Information Sciences , vol.112 , pp. 67-84
    • Tsumoto, S.1
  • 20
    • 0041549775 scopus 로고
    • The compatibility view of Shafer-Dempster theory using the concept of rough set
    • WONG, S.K.M. and P.J. LINGRAS (1989) The compatibility view of Shafer-Dempster theory using the concept of rough set, Methodologies of Intelligent Systems, 4, 33-42.
    • (1989) Methodologies of Intelligent Systems , vol.4 , pp. 33-42
    • Wong, S.K.M.1    Lingras, P.J.2
  • 21
    • 0022914312 scopus 로고
    • Algorithm for inductive learning, Bulletin of the Polish Academy of Sciences
    • WONG, S.K.M. and W. ZIARKO (1986) Algorithm for inductive learning, Bulletin of the Polish Academy of Sciences, Technical Sciences, 34, 271-276.
    • (1986) Technical Sciences , vol.34 , pp. 271-276
    • Wong, S.K.M.1    Ziarko, W.2
  • 22
    • 0011157035 scopus 로고
    • Comparison of the probabilistic approximate classification and the fuzzy set model
    • WONG, S.K.M. and W. ZIARKO (1987) Comparison of the probabilistic approximate classification and the fuzzy set model, Fuzzy Sets and Systems, 21, 357-362.
    • (1987) Fuzzy Sets and Systems , vol.21 , pp. 357-362
    • Wong, S.K.M.1    Ziarko, W.2
  • 24
    • 0001375356 scopus 로고    scopus 로고
    • Two views of the theory of rough sets in finite universes
    • YAO, Y.Y. (1996) Two views of the theory of rough sets in finite universes, International Journal of Approximation Reasoning, 15, 291-317.
    • (1996) International Journal of Approximation Reasoning , vol.15 , pp. 291-317
    • Yao, Y.Y.1
  • 25
    • 0001042148 scopus 로고    scopus 로고
    • Granular computing: Basic issues and possible solutions
    • Association for Intelligent Machinery
    • YAO,Y.Y. (2000) Granular computing: basic issues and possible solutions, Proceedings of the 5th Joint Conference on Information Sciences, Association for Intelligent Machinery, 186-189.
    • (2000) Proceedings of the 5th Joint Conference on Information Sciences , pp. 186-189
    • Yao, Y.Y.1
  • 26
    • 0035155557 scopus 로고    scopus 로고
    • Information granulation and rough set approximation
    • YAO, Y.Y. (2001a) Information granulation and rough set approximation, International Journal of Intelligent Systems, 16, 87-104.
    • (2001) International Journal of Intelligent Systems , vol.16 , pp. 87-104
    • Yao, Y.Y.1
  • 28
    • 0242385745 scopus 로고    scopus 로고
    • Mining high order decision rules
    • M. Inuiguchi, S. Hirano and S. Tsumoto (eds), Berlin: Springer
    • YAO, Y.Y. (2003a) Mining high order decision rules, in Rough Set Theory and Granular Computing, M. Inuiguchi, S. Hirano and S. Tsumoto (eds), Berlin: Springer, 125-135.
    • (2003) Rough Set Theory and Granular Computing , pp. 125-135
    • Yao, Y.Y.1
  • 29
    • 0242354222 scopus 로고    scopus 로고
    • Information-theoretic measures for knowledge discovery and data mining
    • Karmeshu (ed.), Berlin: Springer
    • YAO, Y.Y. (2003b) Information-theoretic measures for knowledge discovery and data mining, in Entropy Measures, Maximum Entropy and Emerging Applications, Karmeshu (ed.), Berlin: Springer, 115-136.
    • (2003) Entropy Measures, Maximum Entropy and Emerging Applications , pp. 115-136
    • Yao, Y.Y.1
  • 30
    • 0031632311 scopus 로고    scopus 로고
    • Interpretations of belief functions in the theory of rough sets
    • YAO, Y.Y. and P.J. LINGRAS (1998) Interpretations of belief functions in the theory of rough sets, Information Sciences, 104, 81-106.
    • (1998) Information Sciences , vol.104 , pp. 81-106
    • Yao, Y.Y.1    Lingras, P.J.2
  • 33
    • 0242322855 scopus 로고
    • A decision-theoretic rough set model
    • Z.W. Ras, M. Zemankova and M.L. Emrich (eds), New York: North-Holland
    • YAO, Y.Y., S.K.M. WONG and P.J. LINGRAS (1990) A decision-theoretic rough set model, in Methodologies for Intelligent Systems, Vol. 5, Z.W. Ras, M. Zemankova and M.L. Emrich (eds), New York: North-Holland, 17-24.
    • (1990) Methodologies for Intelligent Systems , vol.5 , pp. 17-24
    • Yao, Y.Y.1    Wong, S.K.M.2    Lingras, P.J.3
  • 34
    • 0002263693 scopus 로고
    • Fuzzy sets and information granularity
    • N. Gupta, R. Ragade and R. Yager (eds), Amsterdam: North-Holland
    • ZADEH, L.A. (1979) Fuzzy sets and information granularity, in Advances in Fuzzy Set Theory and Applications, N. Gupta, R. Ragade and R. Yager (eds), Amsterdam: North-Holland, 3-18.
    • (1979) Advances in Fuzzy Set Theory and Applications , pp. 3-18
    • Zadeh, L.A.1
  • 35
    • 1642469977 scopus 로고    scopus 로고
    • Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
    • ZADEH, L.A. (1997) Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic, Fuzzy Sets and Systems, 19, 111-127.
    • (1997) Fuzzy Sets and Systems , vol.19 , pp. 111-127
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.