[1]
J.S. Russell, M.J. Skibniewski, Decision criteria in contractor prequalification, Journal of Management in Engineering , 4 (2), 1988 , 148–164.
DOI: 10.1061/(asce)9742-597x(1988)4:2(148)
Google Scholar
[2]
Merna A., Smith N. J., Bid evaluation for UK public sector construction contractors, Proceeding of The Institution of Civil Engineers, 1(88), 1990, 91-105.
DOI: 10.1680/iicep.1990.4529
Google Scholar
[3]
G.D. Holt, P.O. Olomolaiye, F.C. Harris, Evaluating prequalification criteria in contractor selection, Building and Environment , 29 (4), 1994, 437–448.
DOI: 10.1016/0360-1323(94)90003-5
Google Scholar
[4]
J.P.H. Fan, S. Titman, G. Twite, An International Comparison of Capital Structure and Debt Maturity Choices, AFA Annual Conference, Philadelphia, (2005).
DOI: 10.3386/w16445
Google Scholar
[5]
De-Zhang Li, Bo-Jian Wang, Kun-Cheng Chen, The Research of Insurance and Ensure in Construction Projects, Taiwan Construction Research Institute, Taipei , (1990).
Google Scholar
[6]
Jin-Cun Chen, Credit risk evaluation – A study on financial ratios, Joint Credit Information Center, Taipei, (1995).
Google Scholar
[7]
Russell, J. S., and Skibniewski, M. J., Qualifier-1: Contractor Prequalification Model, Journal of Computing in Civil Engineering, 4 (1) , 1990, 77-90.
DOI: 10.1061/(asce)0887-3801(1990)4:1(77)
Google Scholar
[8]
J.S. Russell, M.J. Skibniewski, D.R. Cozier, QUALIFIER-2 — knowledge-based system for contractor prequalification, Journal of Construction Engineering and Management-Asce, 116 (1) , 1990, 157–171.
DOI: 10.1061/(asce)0733-9364(1990)116:1(157)
Google Scholar
[9]
Edyta Plebankiewicz, Contractor Prequalification Model Using Fuzzy Sets, Journal of Civil Eenineering and Managment, 15(4), 2009, 377–385.
Google Scholar
[10]
Wong, C. H., Contractor prediction model for the United Kingdom construction contractor: study of logistic regression approach, Journal of Construction Engineering and Management, 130(5), 2004, 691-698.
DOI: 10.1061/(asce)0733-9364(2004)130:5(691)
Google Scholar
[11]
Abudayyeh, O., Zidan, S., Yehia, S., and Randolph, D., Hybrid prequalification-based, innovative contracting model using AHP, Journal of Management in Engineering, 23(2) , 2007, 88-96.
DOI: 10.1061/(asce)0742-597x(2007)23:2(88)
Google Scholar
[12]
K.C. Lam, E. Palaneeswaran, C.Y. Yu, A support vector machine model for contractor prequalification, Automation in Construction, 18 (3), 2009, 321–329.
DOI: 10.1016/j.autcon.2008.09.007
Google Scholar
[13]
W.H. Huang, H.P. Tserng , H.H. Liao , Samuel Y.L. Yin, P.C. Chen, M.C. Lei, Contractor financial prequalification using simulation method based on cash flow model, Automation in Construction, v5, 2013, 254–262.
DOI: 10.1016/j.autcon.2013.05.004
Google Scholar
[14]
A.S. Reisz, C. Perlich, A market-based framework for bankruptcy prediction, Journal of Financial Stability, 3 (2) , 2007, 85–131.
DOI: 10.1016/j.jfs.2007.02.001
Google Scholar
[15]
D.W. Hosmer, S. Lemeshow, Applied Logistic Regression, John Wiley & Sons, Inc., New York, (2000).
Google Scholar