A hybrid rule-based and fuzzy logic model to diagnostic financial area for MSMEs

Germán Méndez Giraldo, Eduyn López-Santana, Carlos Franco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationComputational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
EditorsSanjay Misra, Ana Maria Rocha, David Taniar, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Carmelo M. Torre, Yeonseung Ryu, Bernady O. Apduhan, Eufemia Tarantino
PublisherSpringer
Pages507-519
Number of pages13
ISBN (Print)9783319951737
DOIs
StatePublished - 2018
Event18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Australia
Duration: Jul 2 2018Jul 5 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10964 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Computational Science and Its Applications, ICCSA 2018
CountryAustralia
CityMelbourne
Period7/2/187/5/18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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