메뉴 건너뛰기




Volumn 2639, Issue , 2003, Pages 173-180

Probabilistic rough sets characterized by fuzzy sets

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; DATA MINING; DECISION TABLES; ENTROPY; FUZZY SET THEORY; FUZZY SETS; GRANULAR COMPUTING; MEMBERSHIP FUNCTIONS; FUNCTIONS; LEARNING SYSTEMS; PROBABILISTIC LOGICS; ROUGH SET THEORY; TREES (MATHEMATICS);

EID: 8344248724     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_22     Document Type: Conference Paper
Times cited : (8)

References (17)
  • 1
    • 0032137218 scopus 로고    scopus 로고
    • Information-theoretic measures of uncertainty for rough sets and rough relational databases
    • [1] T. Beaubouef, F. E. Petry and G Arora, Information-theoretic measures of uncertainty for rough sets and rough relational databases, Information Science 109(1998) 185–195.
    • (1998) Information Science , vol.109 , pp. 185-195
    • Beaubouef, T.1    Petry, F.E.2    Arora, G.3
  • 3
    • 0034508077 scopus 로고    scopus 로고
    • Entropy based uncertainty measures for classification rules with inconsistency tolerance, Proceedings of the IEEE International Conference on Systems
    • 4 Oct 8–Oct 11
    • [3] X. Chen, S. Zhu and Y. Ji, Entropy based uncertainty measures for classification rules with inconsistency tolerance, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 4 Oct 8–Oct 11 2000.
    • (2000) Man and Cybernetics
    • Chen, X.1    Zhu, S.2    Ji, Y.3
  • 4
    • 0015340630 scopus 로고
    • A definition of non-probabilistic entropy in the setting of fuzzy sets theory
    • [4] A. De Luca and S. Termini, A definition of non-probabilistic entropy in the setting of fuzzy sets theory, Information and Control 20(1972) 301–312.
    • (1972) Information and Control , vol.20 , pp. 301-312
    • De Luca, A.1    Termini, S.2
  • 6
    • 0032205549 scopus 로고    scopus 로고
    • Uncertainty measures of rough set prediction
    • [6] I. Düntsch and G. Gediga, Uncertainty measures of rough set prediction, Artificial Intelligence 106(1998) 109–137.
    • (1998) Artificial Intelligence , vol.106 , pp. 109-137
    • Düntsch, I.1    Gediga, G.2
  • 9
    • 0002970340 scopus 로고
    • Rough Membership Function
    • L. A. Zadeh and J. Kacprzyk (Ed.), Wiley, New York
    • [9] Z. Pawlak and A. Skowrond, Rough Membership Function, in: L. A. Zadeh and J. Kacprzyk (Ed.), Fuzzy Logic for the Management of Uncertainty, Wiley, New York, 1994, 251–271.
    • (1994) Fuzzy Logic for the Management of Uncertainty , pp. 251-271
    • Pawlak, Z.1    Skowrond, A.2
  • 12
    • 0011157035 scopus 로고
    • Comparison of the probabilistic Approximate Classification and the fuzzy set Model
    • [12] S. K. M. Wong and W. Ziarko, Comparison of the probabilistic Approximate Classification and the fuzzy set Model, Fuzzy Sets and Systems 21 (1987) 357–362.
    • (1987) Fuzzy Sets and Systems , vol.21 , pp. 357-362
    • Wong, S.1    Ziarko, W.2
  • 13
    • 0018668763 scopus 로고
    • On measures of fuzziness and negation, Part I: Membership in unit interval
    • [13] Y. Y. Yager, On measures of fuzziness and negation, Part I: membership in unit interval, International Journal of General Systems 5(1979) 221-229.
    • (1979) International Journal of General Systems , vol.5 , pp. 221-229
    • Yager, Y.Y.1
  • 14
    • 0032147655 scopus 로고    scopus 로고
    • A comparative study of fuzzy sets and rough sets
    • [14] Y. Y. Yao, A comparative study of fuzzy sets and rough sets, Information Sciences 109(1998) 227–242.
    • (1998) Information Sciences , vol.109 , pp. 227-242
    • Yao, Y.Y.1
  • 15
    • 0032204205 scopus 로고    scopus 로고
    • Relational interpretations of neighborhood operators and rough set approximation operators
    • [15] Y. Y. Yao, Relational interpretations of neighborhood operators and rough set approximation operators, Information Sciences 111(1998) 239–259.
    • (1998) Information Sciences , vol.111 , pp. 239-259
    • Yao, Y.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.