2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI) 2015
DOI: 10.1109/micai.2015.39
|View full text |Cite
|
Sign up to set email alerts
|

An Expert System to Detect Risk Levels in Small and Medium Enterprises (SMEs)

Abstract: Nowadays, Small and Medium Enterprises (SMEs) that hold a better competitive position have adopted technology as their key element to become competitive in a globalized market. In Mexico, 72% of the employment of the country and 52% of the GDP comes from SMEs. The importance of keeping alive and working such entities is crucial for the country and one key element is related to their first years. The following work presents a work in progress expert system for Risk Assessment based on a series of evaluations of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 13 publications
0
1
0
Order By: Relevance
“…In this direction, they have developed a knowledge-based expert system prototype using data mining to accommodate decision-making for SMEs. Hernandez et al (2015) developed an expert system based on three main criteria (labor, financial, and fiscal) to identify risks for SMEs in Mexico. In this direction, they evaluated the indicators of each criterion according to their priority levels (risk-free, low, medium, high, very high), and the expert system made suggestions to avoid risks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In this direction, they have developed a knowledge-based expert system prototype using data mining to accommodate decision-making for SMEs. Hernandez et al (2015) developed an expert system based on three main criteria (labor, financial, and fiscal) to identify risks for SMEs in Mexico. In this direction, they evaluated the indicators of each criterion according to their priority levels (risk-free, low, medium, high, very high), and the expert system made suggestions to avoid risks.…”
Section: Literature Reviewmentioning
confidence: 99%