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Volumn 11, Issue 4, 2000, Pages 430-435

Estimation of non-statistical uncertainty using fuzzy-set theory

Author keywords

Dynamic measurement; Estimation; Fuzzy set theory; Non statistical uncertainty

Indexed keywords

COMPUTER SIMULATION; FUZZY SETS; PROBABILITY DISTRIBUTIONS;

EID: 0033689956     PISSN: 09570233     EISSN: None     Source Type: Journal    
DOI: 10.1088/0957-0233/11/4/314     Document Type: Article
Times cited : (73)

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  • 5
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    • 0040549820 scopus 로고
    • a with regard to the structure of uncertainty, measurement errors
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    • Shu, D.1
  • 12
    • 0040549821 scopus 로고    scopus 로고
    • Conceptual uncertainty of measurement errors
    • Sobolev V I 1996 Conceptual uncertainty of measurement errors Izmeritel'naya Tekhn. 39 7-8
    • (1996) Izmeritel'naya Tekhn. , vol.39 , pp. 7-8
    • Sobolev, V.I.1
  • 13
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    • A Bayesian theory of measurement uncertainty
    • Weise K and Woger W 1993 A Bayesian theory of measurement uncertainty Meas. Sci. Technol. 4 1-11
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    • Weise, K.1    Woger, W.2
  • 14
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    • Measurement, information and uncertainty
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    • A method for evaluating trends in ozone-concentration data and its application to data from the UK rural ozone monitoring
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    • Cox M G, Harris P M, Milton M J T and Woods P T 1997 A method for evaluating trends in ozone-concentration data and its application to data from the UK rural ozone monitoring Advanced Mathematical Tools in Metrology vol III, ed P Ciarlini et al (Singapore: World Scientific) pp 171-8
    • (1997) Advanced Mathematical Tools in Metrology , vol.3 , pp. 171-178
    • Cox, M.G.1    Harris, P.M.2    Milton, M.J.T.3    Woods, P.T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.