Artificial intelligence techniques for modeling financial analysis
Autor(a) principal: | |
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Data de Publicação: | 1996 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFSC |
Texto Completo: | http://repositorio.ufsc.br/xmlui/handle/123456789/76408 |
Resumo: | Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnologico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 1996 |
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Repositório Institucional da UFSC |
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2373 |
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Artificial intelligence techniques for modeling financial analysisInteligencia artificialSistemas especialistas (Computação)Redes neurais (Computação)Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnologico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 1996Although monitoring financial health of small firms is decisive to their success, these firms commonly present difficulty when analysing their operational financial condition. In order to overcome this fact, the present thesis proposes a financial knowledge representation that is capable of proposing alternative actions whenever a deviation is detected. The knowledge representation developed recognizes the existence of different phases of analysis: one that looks for some clues about possible financial problems and another one that focuses on with more detail the potential problems detected by the prior phase.The vagueness present in many semantic rules was implemented by using the Theory of Fuzzy Sets. The uncertainty about the future behavior of some key financial variables is incorporated by means of managers perceptions about trends and events. A practical formulation of this proposal is done considering the retail bus sector.Barcia, Ricardo MirandaKhator, SureshUniversidade Federal de Santa CatarinaRodriguez Martins, Alejandro2012-10-16T10:03:15Z2012-10-16T10:03:15Z19961996info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis92f.| ilapplication/pdf107020http://repositorio.ufsc.br/xmlui/handle/123456789/76408engreponame:Repositório Institucional da UFSCinstname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCinfo:eu-repo/semantics/openAccess2013-04-30T16:40:07Zoai:repositorio.ufsc.br:123456789/76408Repositório InstitucionalPUBhttp://150.162.242.35/oai/requestopendoar:23732013-04-30T16:40:07Repositório Institucional da UFSC - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Artificial intelligence techniques for modeling financial analysis |
title |
Artificial intelligence techniques for modeling financial analysis |
spellingShingle |
Artificial intelligence techniques for modeling financial analysis Rodriguez Martins, Alejandro Inteligencia artificial Sistemas especialistas (Computação) Redes neurais (Computação) |
title_short |
Artificial intelligence techniques for modeling financial analysis |
title_full |
Artificial intelligence techniques for modeling financial analysis |
title_fullStr |
Artificial intelligence techniques for modeling financial analysis |
title_full_unstemmed |
Artificial intelligence techniques for modeling financial analysis |
title_sort |
Artificial intelligence techniques for modeling financial analysis |
author |
Rodriguez Martins, Alejandro |
author_facet |
Rodriguez Martins, Alejandro |
author_role |
author |
dc.contributor.none.fl_str_mv |
Barcia, Ricardo Miranda Khator, Suresh Universidade Federal de Santa Catarina |
dc.contributor.author.fl_str_mv |
Rodriguez Martins, Alejandro |
dc.subject.por.fl_str_mv |
Inteligencia artificial Sistemas especialistas (Computação) Redes neurais (Computação) |
topic |
Inteligencia artificial Sistemas especialistas (Computação) Redes neurais (Computação) |
description |
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnologico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 1996 |
publishDate |
1996 |
dc.date.none.fl_str_mv |
1996 1996 2012-10-16T10:03:15Z 2012-10-16T10:03:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
107020 http://repositorio.ufsc.br/xmlui/handle/123456789/76408 |
identifier_str_mv |
107020 |
url |
http://repositorio.ufsc.br/xmlui/handle/123456789/76408 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
92f.| il application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFSC instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
instname_str |
Universidade Federal de Santa Catarina (UFSC) |
instacron_str |
UFSC |
institution |
UFSC |
reponame_str |
Repositório Institucional da UFSC |
collection |
Repositório Institucional da UFSC |
repository.name.fl_str_mv |
Repositório Institucional da UFSC - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
|
_version_ |
1808651990061809664 |