Fuzzy Treatment of Candidate Outliers in Measurements

Autor: Giampaolo E. D'Errico, Nadir Murru
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Advances in Fuzzy Systems, Vol 2012 (2012)
Druh dokumentu: article
ISSN: 1687-7101
1687-711X
DOI: 10.1155/2012/783843
Popis: 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.
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