Efficacy of Using Support Vector Machine in a Contractor Prequalification Decision Model-Reference-Cited by-同舟云学术

Efficacy of Using Support Vector Machine in a Contractor Prequalification Decision Model

Published:2010-05 Issue:3 Volume:24 Page:273-280
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Lam Ka-Chi¹²³,Lam Mike Chun-Kit¹²³,Wang Dan¹²³

Affiliation:

1. Associate Professor, Dept. of Building and Construction, City Univ. of Hong Kong, 83 Tat Chee Ave., Kowloon, Hong Kong SAR, China (corresponding author).

2. Instructor I, Dept. of Building and Construction, City Univ. of Hong Kong, 83 Tat Chee Ave., Kowloon, Hong Kong SAR, China.

3. Research Student, Dept. of Building and Construction, City Univ. of Hong Kong, 83 Tat Chee Ave., Kowloon, Hong Kong SAR, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000030

Reference45 articles.

1. Chang C. C. and Lin C. J. (2004). “LIBSVM: A library for support vector machines.” Dept. of Computer Science and Information Engineering National Taiwan Univ. ⟨http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf⟩ (Aug. 6 2007).

2. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

3. Cost-plus contractor selection: Case study;Diekmann J. E.;J. Techn. Counc.,1981

4. Prequalification and C-competitiveness;Drew D. S.;Int. J. Manag. Sci.,1993

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