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Joint Random-Fuzzy Variables: A Tool for Propagating Uncertainty Through Nonlinear Measurement Functions
7 references·1 citing·22 second hop
Joint Random-Fuzzy Variables: A Tool for Propagating Uncertainty Through Nonlinear Measurement Functions (2016)Joint Random-Fuzzy Variables: A Tool for …The Construction of Joint Possibility Distributions of Random Contributions to Uncertainty (2013)The Construction of Joint Pos…Processing Dependent Systematic Contributions to Measurement Uncertainty (2013)Processing Dependent Systemat…Uncertainty: Only One Mathematical Approach to Its Evaluation and Expression? (2012)Uncertainty: Only One Mathema…Generalized expressions of second and third order for the evaluation of standard measurement uncertainty (2011)Generalized expressions of se…The construction of random-fuzzy variables from the available relevant metrological information (2008)The construction of random-fu…Fuzzy approach to the theory of measurement inexactness (2003)Fuzzy approach to the theory …A fuzzy approach for the expression of uncertainty in measurement (2001)A fuzzy approach for the expr…Measurement uncertainty of transmission line resistance calculation using ‘Guide to the Expression of Uncertainty in Measurement’ and adaptive Monte–Carlo method (2017)Measurement uncertainty of tr…Estimation of the uncertainty of indirect measurements from the propagation of distributions by using the Monte-Carlo method: An overview (2005)GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT (2006)Guide to the Expression of Uncertainty in Measurement (2013)Properties of a one-parameter family of bivariate distributions with specified marginals (1986)A Comparison Between the Probabilistic and Possibilistic Approaches: The Importance of a Correct Metrological Information (2017)Handbook of Measurement Science (1983)Different methods are needed to propagate ignorance and variability (1996)A Review of Relationships Between Possibility and Probability Representations of Uncertainty in Measurement (2012)Fuzzy Arithmetic Risk Analysis Approach to Determine Construction Project Contingency (2016)Measurement uncertainty (2006)Outlier Detection for the Evaluation of the Measurement Uncertainty of Environmental Acoustic Noise (2015)Choosing Bootstrap Method for the Estimation of the Uncertainty of Traffic Noise Measurements (2016)A Comparative Analysis of the Statistical and Random-Fuzzy Approaches in the Expression of Uncertainty in Measurement (2005)Fuzzy sets (1965)A mathematical theory of evidence (1977)Fuzzy sets (1996)Fuzzy Monte Carlo Simulation and Risk Assessment in Construction (2009)Measurement Uncertainty: Literature Review and Research Trends (2012)Guidelines for evaluating and expressing the uncertainty of NIST measurement results (1994)Evaluation of measurement data — Guide to the expression of uncertainty in measurement (2008)Guidelines for evaluating and expressing the uncertainty of NIST measurement results (2018)A 2-D Metrology-Sound Probability–Possibility Transformation (2013)
this work references cited by second hop

References

  • 2001A fuzzy approach for the expression of uncertainty in measurement208 cited
  • 2003Fuzzy approach to the theory of measurement inexactness88 cited
  • 2012Uncertainty: Only One Mathematical Approach to Its Evaluation and Expression?60 cited
  • 2008The construction of random-fuzzy variables from the available relevant metrological information45 cited
  • 2013Processing Dependent Systematic Contributions to Measurement Uncertainty29 cited
  • 2013The Construction of Joint Possibility Distributions of Random Contributions to Uncertainty28 cited
  • 2011Generalized expressions of second and third order for the evaluation of standard measurement uncertainty14 cited

Cited by

  • 2017Measurement uncertainty of transmission line resistance calculation using ‘Guide to the Expression of Uncertainty in Measurement’ and adaptive Monte–Carlo method11 cited

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