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Volumn 245, Issue , 2013, Pages 96-111

Bayesian approach for inconsistent information

Author keywords

Fuzzy random variable; Fuzzy Bayes; Imprecise data; Imprecise probability; Uncertainty quantification

Indexed keywords

FUZZY RANDOM VARIABLE; FUZZY-BAYES; IMPRECISE DATA; IMPRECISE PROBABILITIES; UNCERTAINTY QUANTIFICATIONS;

EID: 84880305543     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.02.024     Document Type: Article
Times cited : (47)

References (13)
  • 2
    • 77957357107 scopus 로고    scopus 로고
    • Engineering quantification of inconsistent information
    • M. Beer Engineering quantification of inconsistent information International Journal of Reliability and Safety 3 1-3 2009 174 200
    • (2009) International Journal of Reliability and Safety , vol.3 , Issue.13 , pp. 174-200
    • Beer, M.1
  • 10
    • 70350723010 scopus 로고    scopus 로고
    • Foundations of fuzzy bayesian inference
    • R. Viertl Foundations of fuzzy bayesian inference Journal of Uncertain Systems 2 3 2008 187 191
    • (2008) Journal of Uncertain Systems , vol.2 , Issue.3 , pp. 187-191
    • Viertl, R.1
  • 12
    • 9544228862 scopus 로고    scopus 로고
    • Generalized Bayes' theorem for non-precise a-priori distribution
    • R. Viertl, and D. Hareter Generalized Bayes' theorem for non-precise a-priori distribution Metrika 59 2004 263 273
    • (2004) Metrika , vol.59 , pp. 263-273
    • Viertl, R.1    Hareter, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.