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

MURRU, NADIR
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.
2012
783843
1
6
http://www.hindawi.com/journals/afs/2012/783843/
Giampaolo E. D'Errico; Nadir Murru
File in questo prodotto:
File Dimensione Formato  
13 - Fuzzy Treatment of Candidate Outliers in Measurements.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 835.07 kB
Formato Adobe PDF
835.07 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/134041
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? ND
social impact