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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) 
Pereira, V., Ferreira, F. & Chang, H. (2019). A constructivist multiple criteria framework for mortgage risk analysis. INFOR: Information Systems and Operational Research. 57 (3), 361-378
Exportar Referência (IEEE) 
V. I. Pereira et al.,  "A constructivist multiple criteria framework for mortgage risk analysis", in INFOR: Information Systems and Operational Research, vol. 57, no. 3, pp. 361-378, 2019
Exportar BibTeX 
@article{pereira2019_1731867528393,
	author = "Pereira, V. and Ferreira, F. and Chang, H.",
	title = "A constructivist multiple criteria framework for mortgage risk analysis",
	journal = "INFOR: Information Systems and Operational Research",
	year = "2019",
	volume = "57",
	number = "3",
	doi = "10.1080/03155986.2017.1332919",
	pages = "361-378",
	url = "https://www.tandfonline.com/doi/full/10.1080/03155986.2017.1332919"
}
Exportar RIS 
TY  - JOUR
TI  - A constructivist multiple criteria framework for mortgage risk analysis
T2  - INFOR: Information Systems and Operational Research
VL  - 57
IS  - 3
AU  - Pereira, V.
AU  - Ferreira, F.
AU  - Chang, H.
PY  - 2019
SP  - 361-378
SN  - 0315-5986
DO  - 10.1080/03155986.2017.1332919
UR  - https://www.tandfonline.com/doi/full/10.1080/03155986.2017.1332919
AB  - Mortgage lending strengthens countries’ economies, contributing to their development and economic growth. For this to occur, a financial commitment is required between credit institutions that transfer credit and the individuals who request it. This relationship is usually supported by risk analysis and assessment tools that seek to anticipate the success or failure of credit lending and thereby protect both parties. Given the growing demand for more realistic and informed credit risk assessment mechanisms, the present study sought to create a multiple criteria credit risk assessment system for mortgage loans using cognitive maps and the Measuring Attractiveness by a Categorical Based Evaluation Technique. Despite the idiosyncratic nature of this study, the results show that this methodological combination allows for a more transparent and realistic mortgage risk assessment. The advantages and limitations of the proposed approach are also discussed.
ER  -