Measurement, Models, and Uncertainty

Giordani, Alessandro; Mari, Luca

doi:10.1109/tim.2012.2193695

Cited by 56 publications

(26 citation statements)

References 20 publications

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“…This is confirmed by the simulation results shown in Fig. 5, where the volume errors e are plotted versus the values of γ for the t-norm families defined in (5). For each t-norm family, the volume errors associated with the six case studies are reported with different colors.…”

Section: B Case Of Uncorrelated Random Contributionssupporting

confidence: 73%

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The Construction of Joint Possibility Distributions of Random Contributions to Uncertainty

Ferrero

Prioli

Salicone

2014

IEEE Trans. Instrum. Meas.

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The evaluation and expression of uncertainty in measurement is one of the fundamental issues in measurement science and challenges measurement experts especially when the combined uncertainty has to be evaluated. Recently, a new approach, within the framework of possibility theory, has been proposed to generalize the currently followed probabilistic approach. When possibility distributions are employed to represent random contribution to measurement uncertainty, their combination is still an open problem. This combination is directly related to the construction of the joint possibility distribution, generally performed by means of t-norms. The problem is that joint possibility distributions strongly depend on the considered t-norm, and, therefore, the choice of one particular t-norm over another has to be justified. The first goal of this paper is, hence, to provide support to the choice of a particular t-norm. The second goal is to discuss the construction of the joint possibility distribution when the two random contributions to uncertainty show mutual dependence, with specific reference to a particular class of possibility distributions.

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Section: B Case Of Uncorrelated Random Contributionssupporting

confidence: 73%

“…Consequently, the identification and evaluation of this "other available relevant information" represents one of the fundamental and widely discussed issues in the measurement science [3]- [5]. Generally, as stated again in the VIM, a measurement result is "expressed as a single measured quantity value and a measurement uncertainty" [1].…”

mentioning

confidence: 99%

The Construction of Joint Possibility Distributions of Random Contributions to Uncertainty

Ferrero

Prioli

Salicone

2014

IEEE Trans. Instrum. Meas.

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“…However, concepts, terms, units and methods for expressing measurement results [21] and their uncertainties are still contested despite extensive and successful attempts at international consensus resulting in the International Vocabulary of Metrology (VIM) and Guide to the Expression of Uncertainty in Measurement (GUM) more than a decade ago [22][23][24][25][26]. The philosophy of measurement also continues to be a dynamic field of enquiry [27][28][29][30] rekindled since the early 2000s [31][32][33][34] when the Bureau International des Poids et Mesures (BIPM) began to engage in chemical measurements in addition to physical measurements.…”

Section: Evaluating and Expressing Uncertaintymentioning

confidence: 99%

Optical Radiation Metrology and Uncertainty

Haridy¹,

Aslam²

2018

Metrology

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Metrology is the science of measurement. The chapter contains introductory material, terminology and units used in the optical radiation metrology. Optical radiation metrology provides an applied understanding of essential optical measurement concepts, techniques and procedures. In this chapter, we focus on electromagnetic radiation with wavelengths from approximately 100 to 2500 nm. We describe the principles used to measure photometry and radiometry quantities such as total flux, intensity, illuminance, luminance, radiance, exitance and irradiance. Measurement results should be expressed in terms of estimated value and an associated uncertainty, we provide an explanation to how to estimate and build the uncertainty budget of measurements. Metrology is based on measurements and comparisons. The unit is a unique name we assign to the measures of that quantity. Base standards must be both accessible and invariable. The metrological traceability chain is the sequence of measurement standards and calibrations that were used to relate the measurement result to the reference. The uncertainty budgets for photometric and radiometric quantities are represented in this chapter.

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“…Developments in MU also emphasize the relationship between the measurement itself and the theoretical models and philosophies underpinning the use of the measurement results [47][48][49][50][51][52][53][54][55].…”

Section: Current Developments Within the Bipm Regarding Future Versiomentioning

confidence: 99%

The use of error and uncertainty methods in the medical laboratory

Oosterhuis

Bayat²,

Armbruster

et al. 2017

Clinical Chemistry and Laboratory Medicine (CCLM)

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Error methods -compared with uncertainty methods -offer simpler, more intuitive and practical procedures for calculating measurement uncertainty and conducting quality assurance in laboratory medicine. However, uncertainty methods are preferred in other fields of science as reflected by the guide to the expression of uncertainty in measurement. When laboratory results are used for supporting medical diagnoses, the total uncertainty consists only partially of analytical variation. Biological variation, pre-and postanalytical variation all need to be included. Furthermore, all components of the measuring procedure need to be taken into account. Performance specifications for diagnostic tests should include the diagnostic uncertainty of the entire testing process. Uncertainty methods may be particularly useful for this purpose but have yet to show their strength in laboratory medicine. The purpose of this paper is to elucidate the pros and cons of error and uncertainty methods as groundwork for future consensus on their use in practical performance specifications. Error and uncertainty methods are complementary when evaluating measurement data.

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Measurement, Models, and Uncertainty

Cited by 56 publications

References 20 publications

The Construction of Joint Possibility Distributions of Random Contributions to Uncertainty

The Construction of Joint Possibility Distributions of Random Contributions to Uncertainty

Optical Radiation Metrology and Uncertainty

The use of error and uncertainty methods in the medical laboratory

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