A decision model based on expected utility, entropy and variance

Detalhes bibliográficos
Autor(a) principal: Brito, Irene
Data de Publicação: 2020
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/66799
Resumo: A decision model - the expected utility, entropy and variance (EU-EV) model - is proposed, where the decision criterion depends on the uncertainty risk factors entropy and variance and on the subjective expected utility. The EU-EV model is applied to decision problems existing in the literature, and it is shown that they can be well explained with this model.
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spelling A decision model based on expected utility, entropy and varianceDecision analysisExpected utilityEntropyVarianceDecision modelRiskCiências Naturais::MatemáticasScience & TechnologyA decision model - the expected utility, entropy and variance (EU-EV) model - is proposed, where the decision criterion depends on the uncertainty risk factors entropy and variance and on the subjective expected utility. The EU-EV model is applied to decision problems existing in the literature, and it is shown that they can be well explained with this model.The author thanks support from FCT ("Fundação para a Ciência e a Tecnologia") through the Project PEstOE/MAT/UI0013/2014.Elsevier Science IncUniversidade do MinhoBrito, Irene20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/66799eng0096-300310.1016/j.amc.2020.125285https://www.sciencedirect.com/science/article/pii/S009630032030254Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-07T01:21:18Zoai:repositorium.sdum.uminho.pt:1822/66799Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:19:41.930652Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A decision model based on expected utility, entropy and variance
title A decision model based on expected utility, entropy and variance
spellingShingle A decision model based on expected utility, entropy and variance
Brito, Irene
Decision analysis
Expected utility
Entropy
Variance
Decision model
Risk
Ciências Naturais::Matemáticas
Science & Technology
title_short A decision model based on expected utility, entropy and variance
title_full A decision model based on expected utility, entropy and variance
title_fullStr A decision model based on expected utility, entropy and variance
title_full_unstemmed A decision model based on expected utility, entropy and variance
title_sort A decision model based on expected utility, entropy and variance
author Brito, Irene
author_facet Brito, Irene
author_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Brito, Irene
dc.subject.por.fl_str_mv Decision analysis
Expected utility
Entropy
Variance
Decision model
Risk
Ciências Naturais::Matemáticas
Science & Technology
topic Decision analysis
Expected utility
Entropy
Variance
Decision model
Risk
Ciências Naturais::Matemáticas
Science & Technology
description A decision model - the expected utility, entropy and variance (EU-EV) model - is proposed, where the decision criterion depends on the uncertainty risk factors entropy and variance and on the subjective expected utility. The EU-EV model is applied to decision problems existing in the literature, and it is shown that they can be well explained with this model.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/66799
url https://hdl.handle.net/1822/66799
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0096-3003
10.1016/j.amc.2020.125285
https://www.sciencedirect.com/science/article/pii/S009630032030254X
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Inc
publisher.none.fl_str_mv Elsevier Science Inc
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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