Fuzzy Treatment of Candidate Outliers in Measurements

Abstract EN

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.