Fuzzy Treatment of Candidate Outliers in Measurements
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 simulat...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2012/783843 |
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| _version_ | 1849305237371748352 |
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| author | Giampaolo E. D'Errico Nadir Murru |
| author_facet | Giampaolo E. D'Errico Nadir Murru |
| author_sort | Giampaolo E. D'Errico |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-03048c61ce0f4dbeb42d9bff58dd1a8e |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-03048c61ce0f4dbeb42d9bff58dd1a8e2025-08-20T03:55:32ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/783843783843Fuzzy Treatment of Candidate Outliers in MeasurementsGiampaolo E. D'Errico0Nadir Murru1Division of Mechanics, Istituto Nazionale di Ricerca Metrologica (INRIM), Strada delle Cacce 91, 10135 Torino, ItalyDivision of Mechanics, Istituto Nazionale di Ricerca Metrologica (INRIM), Strada delle Cacce 91, 10135 Torino, ItalyRobustness 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.http://dx.doi.org/10.1155/2012/783843 |
| spellingShingle | Giampaolo E. D'Errico Nadir Murru Fuzzy Treatment of Candidate Outliers in Measurements Advances in Fuzzy Systems |
| title | Fuzzy Treatment of Candidate Outliers in Measurements |
| title_full | Fuzzy Treatment of Candidate Outliers in Measurements |
| title_fullStr | Fuzzy Treatment of Candidate Outliers in Measurements |
| title_full_unstemmed | Fuzzy Treatment of Candidate Outliers in Measurements |
| title_short | Fuzzy Treatment of Candidate Outliers in Measurements |
| title_sort | fuzzy treatment of candidate outliers in measurements |
| url | http://dx.doi.org/10.1155/2012/783843 |
| work_keys_str_mv | AT giampaoloederrico fuzzytreatmentofcandidateoutliersinmeasurements AT nadirmurru fuzzytreatmentofcandidateoutliersinmeasurements |