International Journal of Computational Intelligence Systems

<Previous Article In Issue
Next Article In Issue>
Volume 11, Issue 1, 2018, Pages 414 - 427

A Fuzzy Inference System for Credit Scoring using Boolean Consistent Fuzzy Logic

Authors
Milica Latinovic1, latinovicm@fon.bg.ac.rs, Ivana Dragovic2, dragovic.ivana@fon.bg.ac.rs, Vesna Bogojevic Arsic3, bogojevic@fon.bg.ac.rs, Bratislav Petrovic4, petrovic.bratislav@fon.bg.ac.rs
1Department of Financial Management and Accounting, University of Belgrade, Faculty of Organizational Sciences, Jove Ilica 154, Belgrade, 11000, Serbia
2Department of Systems Theory and Control, University of Belgrade, Faculty of Organizational Sciences, Jove Ilica 154, Belgrade, 11000, Serbia
3Department of Financial Management and Accounting, University of Belgrade, Faculty of Organizational Sciences, Jove Ilica 154, Belgrade, 11000, Serbia
4Department of Systems Theory and Control, University of Belgrade, Faculty of Organizational Sciences, Jove Ilica 154, Belgrade, 11000, Serbia
Received 19 September 2017, Accepted 1 December 2017, Available Online 1 January 2018.
DOI
10.2991/ijcis.11.1.31How to use a DOI?
Keywords
Fuzzy Inference System; Boolean Consistent Fuzzy Logic; Banks; Credit Scoring; Performance
Abstract

This study proposes implementation of Boolean consistent fuzzy inference system for credit scoring purposes. Fuzzy inference system (FIS) allows domain experts to express their knowledge in the form of fuzzy rules, which enables combination of automatic rating with human judgment. Crucial for this model is that fuzzy rules are being evaluated using Boolean consistent fuzzy logic, which preserves all Boolean axioms. Experimental results show that the Boolean consistent FIS outperforms the conventional FIS in terms of classification accuracy, precision, and recall. Consistent fuzzy logic could contribute to the rightful approval of more loans which in turn would have positive effects on economic growth.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
414 - 427
Publication Date
2018/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.31How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Milica Latinovic
AU  - Ivana Dragovic
AU  - Vesna Bogojevic Arsic
AU  - Bratislav Petrovic
PY  - 2018
DA  - 2018/01/01
TI  - A Fuzzy Inference System for Credit Scoring using Boolean Consistent Fuzzy Logic
JO  - International Journal of Computational Intelligence Systems
SP  - 414
EP  - 427
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.31
DO  - 10.2991/ijcis.11.1.31
ID  - Latinovic2018
ER  -