Robustness against the possible occurrence of outlying observations is critical to the performance of a measurement process. Open questions relevant to statistical testing for candidate outliers are reviewed. A novel fuzzy logic approach is developed and exemplified in a metrology context. A simulation procedure is presented and discussed by comparing fuzzy versus probabilistic models.
Fuzzy Treatment of Candidate Outliers in Measurements / D'Errico, GIAMPAOLO EUGENIO; N., Murru. - In: ADVANCES IN FUZZY SYSTEMS. - ISSN 1687-7101. - 2012(2012), p. Article ID 783843.6 pages. [10.1155/2012/783843]
Fuzzy Treatment of Candidate Outliers in Measurements
D'ERRICO, GIAMPAOLO EUGENIO;
2012
Abstract
Robustness against the possible occurrence of outlying observations is critical to the performance of a measurement process. Open questions relevant to statistical testing for candidate outliers are reviewed. A novel fuzzy logic approach is developed and exemplified in a metrology context. A simulation procedure is presented and discussed by comparing fuzzy versus probabilistic models.File in questo prodotto:
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