Fuzzy treatment of candidate outliers in measurements

  • Authors:
  • Giampaolo E. D'Errico;Nadir Murru

  • Affiliations:
  • Division of Mechanics, Istituto Nazionale di Ricerca Metrologica, Torino, Italy;Division of Mechanics, Istituto Nazionale di Ricerca Metrologica, Torino, Italy

  • Venue:
  • Advances in Fuzzy Systems
  • Year:
  • 2012

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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.