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Volumn 2005, Issue , 2001, Pages 73-81

Probabilistic inference and bayesian theorem on rough sets

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; COMPUTATION THEORY;

EID: 84957810390     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45554-X_8     Document Type: Conference Paper
Times cited : (6)

References (9)
  • 1
    • 0022659563 scopus 로고
    • Probabilistic Logic
    • N.J. Nilsson, “Probabilistic Logic”, Artificial Intelligence, Vol.28, No.1, 71-78, (1986).
    • (1986) Artificial Intelligence , vol.28 , Issue.1 , pp. 71-78
    • Nilsson, N.J.1
  • 2
    • 84958037002 scopus 로고    scopus 로고
    • Decision Rules, Bayes Rule and Rough Sets”
    • N. Zhong, A. Skowron, S. Ohsuga (eds.), Springer-Verlag
    • Z. Pawlak, “Decision Rules, Bayes’ Rule and Rough Sets”, N. Zhong, A. Skowron, S. Ohsuga (eds.) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing LNAI 1711, 1-9, Springer-Verlag (1999).
    • (1999) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing , vol.1711 , pp. 1-9
    • Pawlak, Z.1
  • 4
    • 33746102910 scopus 로고    scopus 로고
    • Interval and Paired Probabilities for Treating Uncertain Events
    • Y. Yamauchi, M. Mukaidono, “Interval and Paired Probabilities for Treating Uncertain Events,” IEICE Transactions of Information and Systems, Vol.E82-D, No.5, 955-961, (1999).
    • (1999) IEICE Transactions of Information and Systems , vol.5 E82-D , pp. 955-961
    • Yamauchi, Y.1    Mukaidono, M.2
  • 5
    • 33847353649 scopus 로고    scopus 로고
    • Probabilistic Inference and Bayesian Theorem Based on Logical Implication
    • N. Zhong, A. Skowron, S. Ohsuga (eds), Springer-Verlag
    • Y. Yamauchi, M. Mukaidono, “Probabilistic Inference and Bayesian Theorem Based on Logical Implication” N. Zhong, A. Skowron, S. Ohsuga (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing LNAI 1711, 334-342, Springer-Verlag (1999).
    • (1999) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing , vol.1711 , pp. 334-342
    • Yamauchi, Y.1    Mukaidono, M.2
  • 7
    • 0030218693 scopus 로고    scopus 로고
    • Comparison of Rough-Set and Interval-Set Models for Uncertain Reasoning
    • Y.Y. Yao, X. Li, “Comparison of Rough-Set and Interval-Set Models for Uncertain Reasoning”, Fundamenta Informaticae, 27, 289-298, (1996).
    • (1996) Fundamenta Informaticae , vol.27 , pp. 289-298
    • Yao, Y.Y.1    Li, X.2
  • 8
    • 33845341326 scopus 로고    scopus 로고
    • A Generalized Decision Logic in Interval-Set-Valued Information Tables
    • N. Zhong, A. Skowron, S. Ohsuga (eds), Springer-Verlag
    • Y.Y. Yao, Q. Liu, “A Generalized Decision Logic in Interval-Set-Valued Information Tables” N. Zhong, A. Skowron, S. Ohsuga (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing LNAI 1711, 285-293, Springer-Verlag (1999).
    • (1999) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing , vol.1711 , pp. 285-293
    • Yao, Y.Y.1    Liu, Q.2
  • 9
    • 84947719468 scopus 로고    scopus 로고
    • Interval Approaches for Uncertain Reasoning
    • Z.W.Ras and A.Skowron (eds.)
    • Y.Y. Yao, S.K.M. Wong, “Interval Approaches for Uncertain Reasoning”, Z.W.Ras and A.Skowron (eds.) Foundations of Intelligent Systems, LNAI 1325, 381-390, (1997).
    • (1997) Foundations of Intelligent Systems , vol.1325 , pp. 381-390
    • Yao, Y.Y.1    Wong, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.