Next Article in Journal
Projected Augmented Reality Intelligent Model of a City Area with Path Optimization
Previous Article in Journal
A Quantum-Behaved Neurodynamic Approach for Nonconvex Optimization with Constraints
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle

A Credit Rating Model in a Fuzzy Inference System Environment

1
Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, North Iranshahr 233, Tehran 19585/466, Iran
2
Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Riggenbachstrasse 16, 4600 Olten, Switzerland
3
Department of Marketing, West Chester University, 700 South High Street, West Chester, PA 19383, USA
4
Industrial & Systems Engineering Department, Chung Yuan Christian University, Taoyuan, Taoyuan City 32023, Taiwan
*
Author to whom correspondence should be addressed.
Algorithms 2019, 12(7), 139; https://doi.org/10.3390/a12070139
Received: 21 May 2019 / Revised: 29 June 2019 / Accepted: 30 June 2019 / Published: 9 July 2019
  |  
PDF [372 KB, uploaded 11 July 2019]
  |  

Abstract

One of the most important functions of an export credit agency (ECA) is to act as an intermediary between national governments and exporters. These organizations provide financing to reduce the political and commercial risks in international trade. The agents assess the buyers based on financial and non-financial indicators to determine whether it is advisable to grant them credit. Because many of these indicators are qualitative and inherently linguistically ambiguous, the agents must make decisions in uncertain environments. Therefore, to make the most accurate decision possible, they often utilize fuzzy inference systems. The purpose of this research was to design a credit rating model in an uncertain environment using the fuzzy inference system (FIS). In this research, we used suitable variables of agency ratings from previous studies and then screened them via the Delphi method. Finally, we created a credit rating model using these variables and FIS including related IF-THEN rules which can be applied in a practical setting. View Full-Text
Keywords: credit rating; export credit agencies; uncertainty environment; fuzzy inference system; Delphi method credit rating; export credit agencies; uncertainty environment; fuzzy inference system; Delphi method
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Karbassi Yazdi, A.; Hanne, T.; Wang, Y.J.; Wee, H.-M. A Credit Rating Model in a Fuzzy Inference System Environment. Algorithms 2019, 12, 139.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top