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Evidence approach imprecise intervals: extensions and evaluation measures

In a number of applications the data will be represented in an interval format. We consider here a nested representation of uncertain information in intervals using Dempster–Shafer evidence approaches. These representations can be used in variety of applications including spatial and temporal reason...

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Autores principales: Petry, Fred, Yager, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896180/
https://www.ncbi.nlm.nih.gov/pubmed/33643480
http://dx.doi.org/10.1007/s12652-021-02953-z
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author Petry, Fred
Yager, Ronald
author_facet Petry, Fred
Yager, Ronald
author_sort Petry, Fred
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description In a number of applications the data will be represented in an interval format. We consider here a nested representation of uncertain information in intervals using Dempster–Shafer evidence approaches. These representations can be used in variety of applications including spatial and temporal reasoning and economic cost valuations. Two representations of nested intervals, RP1 and RP2, are defined and used in the paper. Basically an inner interval represents the more certain data and is nested in the outer less certain interval. We illustrate how the specificity measure could be used to evaluate such nested Dempster–Shafer intervals. We then consider Gini information measures applicable to the RP1 representation. We describe an example using our interval approach to COVID contact tracing in epidemiology. Finally examples of aggregation of intervals are provided. It is seen that an aggregated result can be evaluated and shown to increase the specificity of the result. Additionally, it is not always the case that aggregation increases specificity. An example is given illustrating such a case.
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spelling pubmed-78961802021-02-22 Evidence approach imprecise intervals: extensions and evaluation measures Petry, Fred Yager, Ronald J Ambient Intell Humaniz Comput Original Research In a number of applications the data will be represented in an interval format. We consider here a nested representation of uncertain information in intervals using Dempster–Shafer evidence approaches. These representations can be used in variety of applications including spatial and temporal reasoning and economic cost valuations. Two representations of nested intervals, RP1 and RP2, are defined and used in the paper. Basically an inner interval represents the more certain data and is nested in the outer less certain interval. We illustrate how the specificity measure could be used to evaluate such nested Dempster–Shafer intervals. We then consider Gini information measures applicable to the RP1 representation. We describe an example using our interval approach to COVID contact tracing in epidemiology. Finally examples of aggregation of intervals are provided. It is seen that an aggregated result can be evaluated and shown to increase the specificity of the result. Additionally, it is not always the case that aggregation increases specificity. An example is given illustrating such a case. Springer Berlin Heidelberg 2021-02-20 2022 /pmc/articles/PMC7896180/ /pubmed/33643480 http://dx.doi.org/10.1007/s12652-021-02953-z Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 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 Original Research
Petry, Fred
Yager, Ronald
Evidence approach imprecise intervals: extensions and evaluation measures
title Evidence approach imprecise intervals: extensions and evaluation measures
title_full Evidence approach imprecise intervals: extensions and evaluation measures
title_fullStr Evidence approach imprecise intervals: extensions and evaluation measures
title_full_unstemmed Evidence approach imprecise intervals: extensions and evaluation measures
title_short Evidence approach imprecise intervals: extensions and evaluation measures
title_sort evidence approach imprecise intervals: extensions and evaluation measures
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896180/
https://www.ncbi.nlm.nih.gov/pubmed/33643480
http://dx.doi.org/10.1007/s12652-021-02953-z
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