Fuzzy treatment of candidate outliers in measurements
type: Item
instance of: scholarly article
title: Fuzzy treatment of candidate outliers in measurements
zbMATH Open document ID: 1301.62071
DOI: 10.1155/2012/783843
author: Giampaolo E. D'Errico
author: Nadir Murru
published in: Advances in Fuzzy Systems
publication date: 2012-09-06T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 62J86
zbMATH DE Number: 6078114
Wikidata QID: Q58698170
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/783843
OpenAlex ID: W2039303693
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description: scientific article; zbMATH DE number 6078114