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On the Elicitation of an Optimal Outer Approximation of a Coherent Lower Probability
The process of outer approximating a coherent lower probability by a more tractable model with additional properties, such as 2- or completely monotone capacities, may not have a unique solution. In this paper, we investigate whether a number of approaches may help in eliciting a unique outer approx...
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/PMC7274745/ http://dx.doi.org/10.1007/978-3-030-50143-3_6 |
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author | Miranda, Enrique Montes, Ignacio Vicig, Paolo |
author_facet | Miranda, Enrique Montes, Ignacio Vicig, Paolo |
author_sort | Miranda, Enrique |
collection | PubMed |
description | The process of outer approximating a coherent lower probability by a more tractable model with additional properties, such as 2- or completely monotone capacities, may not have a unique solution. In this paper, we investigate whether a number of approaches may help in eliciting a unique outer approximation: minimising a number of distances with respect to the initial model, or maximising the specificity of the outer approximation. We apply these to 2- and completely monotone approximating lower probabilities, and also to possibility measures. |
format | Online Article Text |
id | pubmed-7274745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72747452020-06-08 On the Elicitation of an Optimal Outer Approximation of a Coherent Lower Probability Miranda, Enrique Montes, Ignacio Vicig, Paolo Information Processing and Management of Uncertainty in Knowledge-Based Systems Article The process of outer approximating a coherent lower probability by a more tractable model with additional properties, such as 2- or completely monotone capacities, may not have a unique solution. In this paper, we investigate whether a number of approaches may help in eliciting a unique outer approximation: minimising a number of distances with respect to the initial model, or maximising the specificity of the outer approximation. We apply these to 2- and completely monotone approximating lower probabilities, and also to possibility measures. 2020-05-15 /pmc/articles/PMC7274745/ http://dx.doi.org/10.1007/978-3-030-50143-3_6 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 Miranda, Enrique Montes, Ignacio Vicig, Paolo On the Elicitation of an Optimal Outer Approximation of a Coherent Lower Probability |
title | On the Elicitation of an Optimal Outer Approximation of a Coherent Lower Probability |
title_full | On the Elicitation of an Optimal Outer Approximation of a Coherent Lower Probability |
title_fullStr | On the Elicitation of an Optimal Outer Approximation of a Coherent Lower Probability |
title_full_unstemmed | On the Elicitation of an Optimal Outer Approximation of a Coherent Lower Probability |
title_short | On the Elicitation of an Optimal Outer Approximation of a Coherent Lower Probability |
title_sort | on the elicitation of an optimal outer approximation of a coherent lower probability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274745/ http://dx.doi.org/10.1007/978-3-030-50143-3_6 |
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