What is it about?
The main idea is to guess which loan applicants will fulfill their obligations if loan is approved, using machine learning techniques. It uses big real databases from the Ecuador financial system.
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Why is it important?
The great achievement of this papet is to substantially reduce the number of rules, necessary to reach an acceptable level of precision, comparable to other competeing techniques.
Perspectives
This is part of a project, aiming at measuring credit risk. We believe that it is of great help for financial institutions.
Dr Aurelio F. Bariviera
Universitat Rovira i Virgili
Read the Original
This page is a summary of: Extraction of Knowledge with Population-Based Metaheuristics Fuzzy Rules Applied to Credit Risk, January 2018, Springer Science + Business Media,
DOI: 10.1007/978-3-319-93818-9_15.
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