Danenas P, Garsva G. Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach [J]. Procedia Computer Science, 2012, 9: 1324-1333.
[3]
Bahrammirzaee A, Ghatari A R, Ahmadi P, et al. Hybrid credit ranking intelligent system using expert system and artificial neural networks [J]. Appl Intell,2011,34(1):28-46.
Moody's. Rating methodology for project finance transactions [R]. New York, Moody's, 2003.
[6]
Stand & Poor's. Global project finance year book [R]. New York, Stand & Poor's, 2008.
[7]
Komendantova N, Patt A, Barras L, et al. Perception of risks in renewable energy projects: the case of concentrated solar power in North Africa [J]. Energy Policy, 2012, 40: 103-109.
Buntaine M T. Does the asian development bank respond to past environmental performance when allocating environmentally risky financing?[J]. World Development, 2011, 39(3): 336-350.
[10]
Chen Wenjun, Li Cunbin, Yang Yang, et al. Transmission model of risk breakdown structure in engineering project-chain based on entropy risk element [J]. Systems Engineering Procedia, 2012, 4: 268-274.
[11]
Chao Fang, Marle F. A simulation-based risk network model for decision support in project risk management [J]. Decision Support Systems, 2012, 52(3): 635-644.
[12]
Luo Fuzhou, Gao Hongyuan. The risk assessment model of BT construction engineering project financing [J]. Systems Engineering Procedia, 2011, 1: 169-173.
[13]
Idrus A, Nuruddin M F, Rohman M A. Development of project cost contingency estimation model using risk analysis and fuzzy expert system [J]. Expert Systems with Applications, 2011, 38(3): 1501-1508.
Bombay R B.Distribution of Chi-Square analogue for normal population with class intervals defined in terms of the sample quartiles [J].Metrika,1973,20(1):203-208.
García V, Marqués A I, Sánchez J S. On the use of data filtering techniques for credit risk prediction with instance-based models [J]. Expert Systems with Applications, 2012, 39(18): 13267-13276.
[24]
Baourakis G, Conisescu M, Dijk G V, et al. A multicriteria approach for rating the credit risk of financial institutions [J].Computational Management Science, 2009, 6(3): 347-356.