[1]
P. M. D., The Economic Planning Unit Malaysia, Tenth Malaysia Plan: 2011-2015, PUTRAJAYA, Malaysia, (2010).
Google Scholar
[2]
E. Turban, R. Sharda, and D. Delen, Decision Support and Business Intelligence Systems, 9th ed. Prentice Hall, (2010).
Google Scholar
[3]
N. El-Sawalhi, D. Eaton, and R. Rustom, Contractor pre-qualification model: State-of-the-art, Int. J. Proj. Manag., vol. 25, no. 5, p.465–474, Jul. (2007).
DOI: 10.1016/j.ijproman.2006.11.011
Google Scholar
[4]
M. K. Trivedi, M. K. Pandey, and S. S. Bhadoria, Prequalification of Construction Contractor using a FAHP, Int. J. Comput. Appl., vol. 28, no. 10, p.39–45, Aug. (2011).
DOI: 10.5120/3424-4773
Google Scholar
[5]
R. Mohemad, A. R. Hamdan, Z. A. Othman, and N. M. M. Noor, Decision Support Systems (DSS) in Construction Tendering Processes, Int. J. Comput. Sci. Issues, vol. 7, no. 2, p.35–45, Apr. (2010).
Google Scholar
[6]
F. M. Halil, Contractor's perception of the use of statistical approach in the tender evaluation at the Public Works Department, Malaysia., Am. J. Appl. Sci., Dec. (2007).
Google Scholar
[7]
P. Ioannou and R. Awwad, Below-Average Bidding Method, J. Constr. Eng. Manag., vol. 136, no. 9, p.936–946, (2010).
DOI: 10.1061/(asce)co.1943-7862.0000202
Google Scholar
[8]
D. D. Gransberg and M. A. Ellicott, Best value contracting: Breaking the low-bid paradigm., Trans. AACE Int., (1996).
Google Scholar
[9]
Z. Hatush, Contractor selection using the multiattribute utility theory, Phd thesis, University of Salford, UK, (1996).
Google Scholar
[10]
G. Holt, Contractor selection innovation: examination of two decades' published research, Constr. Innov. Inf. Process Manag., vol. 10, no. 3, p.304–328, Jul. (2010).
DOI: 10.1108/14714171011060097
Google Scholar
[11]
X. Huang, An Analysis of the Selection of Project Contractor in the Construction Management Process, Int. J. Bus. Manag., vol. 6, no. 3, p. p.184, Feb. (2011).
Google Scholar
[12]
A. Nieto-Morote and F. Ruz-Vila, A fuzzy multi-criteria decision-making model for construction contractor prequalification, Autom. Constr., vol. 25, p.8–19, Aug. (2012).
DOI: 10.1016/j.autcon.2012.04.004
Google Scholar
[13]
E. Plebankiewicz, Contractor prequalification model using fuzzy sets, J. Civ. Eng. Manag., vol. 15, no. 4, p.377–385, (2009).
Google Scholar
[14]
E. Plebankiewicz, Construction contractor prequalification from polish clients' perspective, J. Civ. Eng. Manag., vol. 16, no. 1, p.57–64, (2010).
DOI: 10.3846/jcem.2010.05
Google Scholar
[15]
K. M. Al-Harbi, Application of the AHP in project management, Int. J. Proj. Manag., vol. 19, no. 1, p.19–27, (2001).
Google Scholar
[16]
M. Darvish, M. Yasaei, and A. Saeedi, Application of the graph theory and matrix methods to contractor ranking, Int. J. Proj. Manag., vol. 27, no. 6, p.610–619, Aug. (2009).
DOI: 10.1016/j.ijproman.2008.10.004
Google Scholar
[17]
P. Jaskowski, S. Biruk, and R. Bucon, Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment, Autom. Constr., vol. 19, no. 2, p.120–126, Mar. (2010).
DOI: 10.1016/j.autcon.2009.12.014
Google Scholar
[18]
K. C. Lam and C. Y. Yu, A multiple kernel learning-based decision support model for contractor pre-qualification, Autom. Constr., vol. 20, no. 5, p.531–536, Aug. (2011).
DOI: 10.1016/j.autcon.2010.11.019
Google Scholar
[19]
I. M. Mahdi, M. J. Riley, S. M. Fereig, and A. P. Alex, A multi-criteria approach to contractor selection, Eng. Constr. Arch. Manag., vol. 9, no. 1, p.29–37, (2002).
DOI: 10.1046/j.1365-232x.2002.00228.x
Google Scholar
[20]
S. Mitkus and E. Trinkūniene, Reasoned decisions in construction contracts evaluation, Technol. Econ. Dev. Econ., vol. 14, no. 3, p.402–416, (2008).
Google Scholar
[21]
E. Plebankiewicz, A fuzzy sets based contractor prequalification procedure, Autom. Constr., vol. 22, p.433–443, Mar. (2012).
DOI: 10.1016/j.autcon.2011.11.003
Google Scholar
[22]
Z. Turskis, Multi‐attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique, Technol. Econ. Dev. Econ., vol. 14, no. 2, p.224–239, (2008).
DOI: 10.3846/1392-8619.2008.14.224-239
Google Scholar
[23]
E. K. Zavadskas, A. Kaklauskas, Z. Turskis, and J. Tamosaitiene, Contractor selection multi-attribute model applynig COPRAS method with grey interval numbers, in 20th International Conference/Euro Mini Conference on Continuous Optimization and Knowledge-Based Technologies (EurOPT 2008), 2008, p.241.
Google Scholar
[24]
N. Banaitiene and A. Banaitis, Analysis of criteria for contractors' qualification evaluation, Technol. Econ. Dev. Econ., vol. 12, no. 4, p.276–282, (2006).
Google Scholar
[25]
R. Ginevičius and V. Podvezko, Multicriteria graphical‐analytical evaluation of the financial state of construction enterprises, Technol. Econ. Dev. Econ., vol. 14, no. 4, p.452–461, (2008).
DOI: 10.3846/1392-8619.2008.14.452-461
Google Scholar
[26]
F. Ahmad and M. Y. M. Saman, Integrated Decision Support Model for Construction Project Tendering, J. Comput., vol. 3, no. 6, (2011).
Google Scholar
[27]
N. M. M. Noor, R. Mohemad, M. Man, and A. I. Abdullah, Decision support for web-based prequalification tender management system in construction projects, in 2008 International Conference on Service Systems and Service Management, 2008, p.1–6.
DOI: 10.1109/icsssm.2008.4598482
Google Scholar
[28]
A. Aman and H. Kasimin, E-procurement implementation: a case of Malaysia government, Transform. Gov. People Process Policy, vol. 5, no. 4, p.330–344, Aug. (2011).
DOI: 10.1108/17506161111173586
Google Scholar
[29]
W. S. Hui, R. Othman, N. H. Omar, R. A. Rahman, and N. H. Haron, Procurement issues in Malaysia, Int. J. Public Sect. Manag., vol. 24, no. 6, p.567–593, (2011).
DOI: 10.1108/09513551111163666
Google Scholar
[30]
Y. C. Yong and N. E. Mustaffa, Analysis of factors critical to construction project success in Malaysia, Eng. Constr. Arch. Manag., vol. 19, no. 5, p.543–556, (2012).
DOI: 10.1108/09699981211259612
Google Scholar
[31]
W. Ho, Integrated analytic hierarchy process and its applications – A literature review, Eur. J. Oper. Res., vol. 186, no. 1, p.211–228, Apr. (2008).
Google Scholar
[32]
I. B. Huang, J. Keisler, and I. Linkov, Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends, Sci. Total Environ., vol. 409, no. 19, p.3578–3594, Sep. (2011).
DOI: 10.1016/j.scitotenv.2011.06.022
Google Scholar
[33]
N. Subramanian and R. Ramanathan, A review of applications of Analytic Hierarchy Process in operations management, Int. J. Prod. Econ., vol. 138, no. 2, p.215–241, Aug. (2012).
Google Scholar
[34]
J. -J. Wang, Y. -Y. Jing, C. -F. Zhang, and J. -H. Zhao, Review on multi-criteria decision analysis aid in sustainable energy decision-making, Renew. Sustain. Energy Rev., vol. 13, no. 9, p.2263–2278, Dec. (2009).
DOI: 10.1016/j.rser.2009.06.021
Google Scholar
[35]
O. S. Vaidya and S. Kumar, Analytic hierarchy process: An overview of applications, Eur. J. Oper. Res., vol. 169, no. 1, p.1–29, Feb. (2006).
Google Scholar
[36]
Y. -C. Hu and J. -F. Tsai, Backpropagation multi-layer perceptron for incomplete pairwise comparison matrices in analytic hierarchy process, Appl. Math. Comput., vol. 180, no. 1, p.53–62, Sep. (2006).
DOI: 10.1016/j.amc.2005.11.132
Google Scholar
[37]
R. J. Kuo, S. C. Chi, and S. S. Kao, A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network, Comput. Ind., vol. 47, no. 2, p.199–214, Feb. (2002).
DOI: 10.1016/s0166-3615(01)00147-6
Google Scholar
[38]
J. A. Gomez-Ruiz, M. Karanik, and J. I. Peláez, Estimation of missing judgments in AHP pairwise matrices using a neural network-based model, Appl. Math. Comput., vol. 216, no. 10, p.2959–2975, Jul. (2010).
DOI: 10.1016/j.amc.2010.04.009
Google Scholar
[39]
F. Ahmad, A framework of integrated model base for decision support system, Phd Thesis, Universiti Malaysia Terengganu, Malaysia, (2009).
Google Scholar
[40]
A. Ishizaka and A. Labib, Review of the main developments in the analytic hierarchy process, Expert Syst. Appl., vol. 38, no. 11, p.14336–14345, Oct. (2011).
Google Scholar
[41]
H. K. Bhargava, D. J. Power, and D. Sun, Progress in Web-based decision support technologies, Decis. Support Syst., vol. 43, no. 4, p.1083–1095, Aug. (2007).
DOI: 10.1016/j.dss.2005.07.002
Google Scholar
[42]
J. Mustajoki, R. P. Hämäläinen, and M. Marttunen, Participatory multicriteria decision analysis with Web-HIPRE: a case of lake regulation policy, Environ. Model. Softw., vol. 19, no. 6, p.537–547, Jun. (2004).
DOI: 10.1016/j.envsoft.2003.07.002
Google Scholar
[43]
W. Singhirunnusorn, An appropriate wastewater treatment system in developing countries: Thailand as a case study, Ph.D., University of California, Los Angeles, United States - California, (2009).
Google Scholar
[44]
J. Mustajoki, Web-HIPRE- A Multiattribute Decision Support System on the Internet, " master, s thesis, Helsinki University of Technology, Finland, (1999).
Google Scholar
[45]
L. Fausett, Ed., Fundamentals of neural networks: architectures, algorithms, and applications. Upper Saddle River, NJ, USA: Prentice-Hall, Inc., (1994).
Google Scholar