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A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles
We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement theory, we characterize dissimilarity relations agreeing with a particular class of fuzzy dissimilarity measures. Dissimilarity measures in the considered class are those only depending on...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274703/ http://dx.doi.org/10.1007/978-3-030-50143-3_20 |
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author | Coletti, Giulianella Petturiti, Davide Bouchon-Meunier, Bernadette |
author_facet | Coletti, Giulianella Petturiti, Davide Bouchon-Meunier, Bernadette |
author_sort | Coletti, Giulianella |
collection | PubMed |
description | We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement theory, we characterize dissimilarity relations agreeing with a particular class of fuzzy dissimilarity measures. Dissimilarity measures in the considered class are those only depending on the attribute-wise distance of fuzzy description profiles. In particular, we analyze the subclass of weighted Manhattan dissimilarity measures. |
format | Online Article Text |
id | pubmed-7274703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72747032020-06-08 A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles Coletti, Giulianella Petturiti, Davide Bouchon-Meunier, Bernadette Information Processing and Management of Uncertainty in Knowledge-Based Systems Article We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement theory, we characterize dissimilarity relations agreeing with a particular class of fuzzy dissimilarity measures. Dissimilarity measures in the considered class are those only depending on the attribute-wise distance of fuzzy description profiles. In particular, we analyze the subclass of weighted Manhattan dissimilarity measures. 2020-05-15 /pmc/articles/PMC7274703/ http://dx.doi.org/10.1007/978-3-030-50143-3_20 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Coletti, Giulianella Petturiti, Davide Bouchon-Meunier, Bernadette A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles |
title | A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles |
title_full | A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles |
title_fullStr | A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles |
title_full_unstemmed | A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles |
title_short | A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles |
title_sort | measurement theory characterization of a class of dissimilarity measures for fuzzy description profiles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274703/ http://dx.doi.org/10.1007/978-3-030-50143-3_20 |
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