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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Ferreira, F., Meidute-Kavaliauskiene, I., Zavadskas, E., Jalali, M. & Catarino, S. (2019). A judgment-based risk assessment framework for consumer loans. International Journal of Information Technology and Decision Making. 18 (1), 7-33
Exportar Referência (IEEE)
F. A. Ferreira et al.,  "A judgment-based risk assessment framework for consumer loans", in Int. Journal of Information Technology and Decision Making, vol. 18, no. 1, pp. 7-33, 2019
Exportar BibTeX
@article{ferreira2019_1732200605431,
	author = "Ferreira, F. and Meidute-Kavaliauskiene, I. and Zavadskas, E. and Jalali, M. and Catarino, S.",
	title = "A judgment-based risk assessment framework for consumer loans",
	journal = "International Journal of Information Technology and Decision Making",
	year = "2019",
	volume = "18",
	number = "1",
	doi = "10.1142/S021962201850044X",
	pages = "7-33",
	url = "https://www.worldscientific.com/doi/abs/10.1142/S021962201850044X"
}
Exportar RIS
TY  - JOUR
TI  - A judgment-based risk assessment framework for consumer loans
T2  - International Journal of Information Technology and Decision Making
VL  - 18
IS  - 1
AU  - Ferreira, F.
AU  - Meidute-Kavaliauskiene, I.
AU  - Zavadskas, E.
AU  - Jalali, M.
AU  - Catarino, S.
PY  - 2019
SP  - 7-33
SN  - 0219-6220
DO  - 10.1142/S021962201850044X
UR  - https://www.worldscientific.com/doi/abs/10.1142/S021962201850044X
AB  - Credit to personal consumption is an important activity of the financial system and crucial to the socioeconomic development of a country. It is important, therefore, that the methods and techniques used to evaluate consumer credit risk be as efficient and informative as possible, in order to strengthen decisions to approve or reject credit and promote sustainable economic growth. This study aims to create a multiple criteria expert system which integrates cognitive maps and the measuring attractiveness by a categorical-based evaluation technique (MACBETH) to create a complementary framework for consumer credit risk assessment. The results show that this integrated approach allows the evaluation process of consumer credit risk to be more informed and transparent, providing value for the evaluation processes of this type of credit application as a result of the privileged contact established with a panel of credit analysts. Advantages, limitations, and managerial implications are also discussed.
ER  -