2018
DOI: 10.1007/978-3-319-95174-4_40
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A Hybrid Rule-Based and Fuzzy Logic Model to Diagnostic Financial Area for MSMEs

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Cited by 1 publication
(2 citation statements)
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“…In this context, SME conditions in the Czech Republic and the appropriate tool requirements for the supplier-customer relationship were defined, and expert systems were explained in line with the current trends for the evaluation of suppliercustomer relationships. In another study, Giraldo et al (2018) proposed a rule-based prototype system based on fuzzy logic to analyze the financial position of Micro, Small, and Medium Enterprises (MSMEs) and offered alternative solutions related to problem fields. In this framework, they first determined the possible diseases related to the financial field of MSMEs by using the literature and gathered these diseases under three main headings (liquidity shortage, high level of indebtedness, and insufficient capital).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…In this context, SME conditions in the Czech Republic and the appropriate tool requirements for the supplier-customer relationship were defined, and expert systems were explained in line with the current trends for the evaluation of suppliercustomer relationships. In another study, Giraldo et al (2018) proposed a rule-based prototype system based on fuzzy logic to analyze the financial position of Micro, Small, and Medium Enterprises (MSMEs) and offered alternative solutions related to problem fields. In this framework, they first determined the possible diseases related to the financial field of MSMEs by using the literature and gathered these diseases under three main headings (liquidity shortage, high level of indebtedness, and insufficient capital).…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the national and international literature, although there are expert systems developed for SMEs, these applications provide information about expert systems (e.g., Zopounidis et al, 1997;Kaynar, 1999;Nedovic & Devedzic, 2002), financial analysis, and performance evaluation (e.g., Matsatsinis et al, 1997;Moynihan et al, 2006;Shiue et al, 2008;Filippidis et al, 2013;Kara et al, 2016;Giraldo et al, 2018). In contrast to the literature, this study considers the factors of WCM and all possible variables that may have an effect on WCM and visualizes the data of these variables.…”
Section: Introductionmentioning
confidence: 99%