A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs
The importance of the micro, small and medium enterprises (MSMEs) in the regional and global economy causes the academic community to worry about its development and growth that is why several institutions publics and privates have advanced studies about problems of these organizations. We present a...
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2018
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Acceso en línea: | https://repository.urosario.edu.co/handle/10336/22526 https://doi.org/10.1007/978-3-319-95174-4_40 |
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ir-10336-225262022-05-02T12:37:16Z A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs Giraldo G.M. López-Santana E. Franco, Carlos Computer circuits Diagnosis Finance Knowledge based systems Academic community Alternative solutions Diagnostic model Fuzzy logic model Global economies MSME Rule based Small and medium enterprise Fuzzy logic Financial diagnostics Fuzzy logic MSME Rule based system The importance of the micro, small and medium enterprises (MSMEs) in the regional and global economy causes the academic community to worry about its development and growth that is why several institutions publics and privates have advanced studies about problems of these organizations. We present a diagnostic model based on Rules which works together with the fuzzy logic. Our model allows to determine the possible diseases that suffer in financial matters as well as to determine their gravity and to offer alternative solutions. © Springer International Publishing AG, part of Springer Nature 2018. 2018 2020-05-25T23:56:48Z info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion https://repository.urosario.edu.co/handle/10336/22526 https://doi.org/10.1007/978-3-319-95174-4_40 eng info:eu-repo/semantics/openAccess application/pdf Springer Verlag instname:Universidad del Rosario |
institution |
EdocUR - Universidad del Rosario |
collection |
DSpace |
language |
Inglés (English) |
topic |
Computer circuits Diagnosis Finance Knowledge based systems Academic community Alternative solutions Diagnostic model Fuzzy logic model Global economies MSME Rule based Small and medium enterprise Fuzzy logic Financial diagnostics Fuzzy logic MSME Rule based system |
spellingShingle |
Computer circuits Diagnosis Finance Knowledge based systems Academic community Alternative solutions Diagnostic model Fuzzy logic model Global economies MSME Rule based Small and medium enterprise Fuzzy logic Financial diagnostics Fuzzy logic MSME Rule based system Giraldo G.M. López-Santana E. Franco, Carlos A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs |
description |
The importance of the micro, small and medium enterprises (MSMEs) in the regional and global economy causes the academic community to worry about its development and growth that is why several institutions publics and privates have advanced studies about problems of these organizations. We present a diagnostic model based on Rules which works together with the fuzzy logic. Our model allows to determine the possible diseases that suffer in financial matters as well as to determine their gravity and to offer alternative solutions. © Springer International Publishing AG, part of Springer Nature 2018. |
format |
Objeto de conferencia (Conference Object) |
author |
Giraldo G.M. López-Santana E. Franco, Carlos |
author_facet |
Giraldo G.M. López-Santana E. Franco, Carlos |
author_sort |
Giraldo G.M. |
title |
A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs |
title_short |
A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs |
title_full |
A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs |
title_fullStr |
A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs |
title_full_unstemmed |
A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs |
title_sort |
hybrid rule-based and fuzzy logic model to diagnostic financial area for msmes |
publisher |
Springer Verlag |
publishDate |
2018 |
url |
https://repository.urosario.edu.co/handle/10336/22526 https://doi.org/10.1007/978-3-319-95174-4_40 |
_version_ |
1740172865707180032 |
score |
12,131701 |