2019
DOI: 10.1007/978-3-030-20037-4_23
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Linguistic Approach to Support Human Reliability Analysis and Validation Work in Advanced Radiotherapy Technologies

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Cited by 2 publications
(4 citation statements)
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“…Numerical values of risk parameters O, D, S and of RPN index are converted into linguistic variables to which labels of fuzzy sets are associated. For example, let us parameter O relating to occurrence probability of a failure mode, its values in the range [1][2][3][4][5][6][7][8][9][10] is interpreted by using fuzzy labels such as "low", "medium", "high", etc. This approach greatly facilitated the expert's judgments in identifying critical aspects of the task under consideration.…”
Section: Comparison With Other Fmeca Analysis Strategiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Numerical values of risk parameters O, D, S and of RPN index are converted into linguistic variables to which labels of fuzzy sets are associated. For example, let us parameter O relating to occurrence probability of a failure mode, its values in the range [1][2][3][4][5][6][7][8][9][10] is interpreted by using fuzzy labels such as "low", "medium", "high", etc. This approach greatly facilitated the expert's judgments in identifying critical aspects of the task under consideration.…”
Section: Comparison With Other Fmeca Analysis Strategiesmentioning
confidence: 99%
“…In this context, a recent collaboration between the Engineering Department (ED) of the University of Palermo and the Radiotherapy Department (RD) of ARNAS Civico has allowed to develop a new tool, called SAPERO (Patient Safety: advanced techniques and for the assessment of the risk of unwanted events within the care pathway in the Radiotherapy sector). It integrates the application of the following techniques: Hierarchical Task Analysis (HTA) [1], Cognitive Task Analysis (CTA) [2,3], Human Error Assessment and Reduction Technique (HEART) [4][5][6] and Fuzzy Failure Mode Effects and Criticality Analysis (FFMECA) [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Linguistic values can characterize complex phenomena or ill‐defined phenomena, which cannot be adequately characterized in numerical ways 10,19,20 . Real‐world case studies also indicate that experts are more comfortable characterizing the reliability of a system qualitatively rather than quantitatively when the available quantitative data are inadequate, improper and inaccurate for statistical evaluation 11,21–23 . For example, it is more common or easier for experts to say that “there is a low possibility for component A to fail ” rather than “the failure probability of component A is 1.5E‐7 .”…”
Section: Theorymentioning
confidence: 99%
“…10,19,20 Real-world case studies also indicate that experts are more comfortable characterizing the reliability of a system qualitatively rather than quantitatively when the available quantitative data are inadequate, improper and inaccurate for statistical evaluation. 11,[21][22][23] For example, it is more common or easier for experts to say that "there is a low possibility for component A to fail" rather than "the failure probability of component A is 1.5E-7." System or component failure possibilities could be graded based on two types of justification, that is, component types or failure occurrence likelihoods.…”
Section: Failure Possibility Distributionmentioning
confidence: 99%