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Volumn 18, Issue 3, 2009, Pages 321-329

A support vector machine model for contractor prequalification

Author keywords

Artificial neural network; Contractor selection; Pre qualification; Procurement; Support vector machine

Indexed keywords

BACKPROPAGATION; CONSTRUCTION INDUSTRY; CONTRACTORS; CONTRACTS; DECISION SUPPORT SYSTEMS; IMAGE RETRIEVAL; NETWORK PERFORMANCE; NEURAL NETWORKS; VECTORS;

EID: 59249106913     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2008.09.007     Document Type: Article
Times cited : (79)

References (53)
  • 4
    • 0030147931 scopus 로고    scopus 로고
    • Contractor evaluation and selection-a Hong Kong perspective
    • Kumaraswamy M.M. Contractor evaluation and selection-a Hong Kong perspective. Building and Environment 31 3 (1996) 273-282
    • (1996) Building and Environment , vol.31 , Issue.3 , pp. 273-282
    • Kumaraswamy, M.M.1
  • 6
    • 0000942012 scopus 로고    scopus 로고
    • Evaluating contractor prequalification data: selection criteria and project success factors
    • Hatush Z., and Skitmore M. Evaluating contractor prequalification data: selection criteria and project success factors. Construction Management and Economics 15 (1997) 129-147
    • (1997) Construction Management and Economics , vol.15 , pp. 129-147
    • Hatush, Z.1    Skitmore, M.2
  • 7
    • 0035212291 scopus 로고    scopus 로고
    • Recent advances and proposed improvements in contractor prequalification methodologies
    • Palaneeswaran E., and Kumaraswamy M. Recent advances and proposed improvements in contractor prequalification methodologies. Building and Environment 36 (2001) 73-87
    • (2001) Building and Environment , vol.36 , pp. 73-87
    • Palaneeswaran, E.1    Kumaraswamy, M.2
  • 8
    • 0032640145 scopus 로고    scopus 로고
    • Client and consultant perspectives of prequalification criteria
    • Ng S.T., and Skitmore R.M. Client and consultant perspectives of prequalification criteria. Building and Environment 34 (1999) 607-621
    • (1999) Building and Environment , vol.34 , pp. 607-621
    • Ng, S.T.1    Skitmore, R.M.2
  • 9
    • 33747347789 scopus 로고    scopus 로고
    • Contractor selection criteria: investigation of opinions of Singapore construction practitioners
    • Singh D., and Tiong R. Contractor selection criteria: investigation of opinions of Singapore construction practitioners. Journal of Construction Engineering and Management 132 9 (2006) 998-1008
    • (2006) Journal of Construction Engineering and Management , vol.132 , Issue.9 , pp. 998-1008
    • Singh, D.1    Tiong, R.2
  • 17
    • 0028516227 scopus 로고
    • Evaluating prequalification criteria in contractor selection
    • Holt G.D., Olomolaiye P.O., and Harris F.C. Evaluating prequalification criteria in contractor selection. Building and Environment 29 4 (1994) 437-448
    • (1994) Building and Environment , vol.29 , Issue.4 , pp. 437-448
    • Holt, G.D.1    Olomolaiye, P.O.2    Harris, F.C.3
  • 19
    • 0000771440 scopus 로고    scopus 로고
    • Assessment and evaluation of contractor data against client goals using PERT approach
    • Hatush Z., and Skitmore M. Assessment and evaluation of contractor data against client goals using PERT approach. Construction Management and Economics 15 (1997) 327-340
    • (1997) Construction Management and Economics , vol.15 , pp. 327-340
    • Hatush, Z.1    Skitmore, M.2
  • 21
    • 25844517320 scopus 로고    scopus 로고
    • Using the principal component analysis method as a tool in contractor pre-qualification
    • Lam K.C., Hu T.S., and Ng S.T. Using the principal component analysis method as a tool in contractor pre-qualification. Construction Management and Economics 23 7 (2005) 673-684
    • (2005) Construction Management and Economics , vol.23 , Issue.7 , pp. 673-684
    • Lam, K.C.1    Hu, T.S.2    Ng, S.T.3
  • 25
    • 0032186599 scopus 로고    scopus 로고
    • Verification and validation of case-based prequalification system
    • Ng S.T., and Smith N.J. Verification and validation of case-based prequalification system. Journal of Computing in Civil Engineering 12 4 (1998) 215-226
    • (1998) Journal of Computing in Civil Engineering , vol.12 , Issue.4 , pp. 215-226
    • Ng, S.T.1    Smith, N.J.2
  • 26
    • 84993073505 scopus 로고    scopus 로고
    • Neural network model for contractors' prequalification for local authority projects
    • Khosrowshahi F. Neural network model for contractors' prequalification for local authority projects. Engineering, Construction and Architectural Management 6 3 (1999) 315-328
    • (1999) Engineering, Construction and Architectural Management , vol.6 , Issue.3 , pp. 315-328
    • Khosrowshahi, F.1
  • 28
    • 0034817767 scopus 로고    scopus 로고
    • EQUAL: a case-based contractor prequalifier
    • Ng S.T. EQUAL: a case-based contractor prequalifier. Automation in Construction 10 (2001) 443-457
    • (2001) Automation in Construction , vol.10 , pp. 443-457
    • Ng, S.T.1
  • 29
    • 16644393246 scopus 로고    scopus 로고
    • Web based client advisory decision support system for design-builder prequalification
    • Palaneeswaran E., and Kumaraswamy M.M. Web based client advisory decision support system for design-builder prequalification. Journal of Computing in Civil Engineering 19 1 (2005) 69-82
    • (2005) Journal of Computing in Civil Engineering , vol.19 , Issue.1 , pp. 69-82
    • Palaneeswaran, E.1    Kumaraswamy, M.M.2
  • 30
    • 33646162643 scopus 로고    scopus 로고
    • Machine learning of poorly predictable ecological data
    • Shan Y., Paull D., and McKay R.I. Machine learning of poorly predictable ecological data. Ecological Modelling 195 (2006) 129-138
    • (2006) Ecological Modelling , vol.195 , pp. 129-138
    • Shan, Y.1    Paull, D.2    McKay, R.I.3
  • 31
    • 33144480509 scopus 로고    scopus 로고
    • The evaluation of consumer loans using support vector machines
    • Li S.T., Shuie W., and Huang M.H. The evaluation of consumer loans using support vector machines. Expert Systems with Applications 30 (2006) 772-782
    • (2006) Expert Systems with Applications , vol.30 , pp. 772-782
    • Li, S.T.1    Shuie, W.2    Huang, M.H.3
  • 32
    • 30944442440 scopus 로고    scopus 로고
    • A study of Taiwan's issuer credit rating systems using support vector machines
    • Chen W.H., and Shih J.Y. A study of Taiwan's issuer credit rating systems using support vector machines. Expert Systems with Applications 30 (2006) 427-435
    • (2006) Expert Systems with Applications , vol.30 , pp. 427-435
    • Chen, W.H.1    Shih, J.Y.2
  • 34
    • 9244259665 scopus 로고    scopus 로고
    • An application of support vector machines in bankruptcy prediction model
    • Shin K.S., Lee T.S., and Kim H.J. An application of support vector machines in bankruptcy prediction model. Expert Systems with Applications 28 (2005) 127-135
    • (2005) Expert Systems with Applications , vol.28 , pp. 127-135
    • Shin, K.S.1    Lee, T.S.2    Kim, H.J.3
  • 35
    • 0242351905 scopus 로고    scopus 로고
    • Financial time series forecasting using support vector machines
    • Kim K.J. Financial time series forecasting using support vector machines. Neurocomputing 55 1/2 (2003) 307-319
    • (2003) Neurocomputing , vol.55 , Issue.1-2 , pp. 307-319
    • Kim, K.J.1
  • 36
    • 38649138750 scopus 로고    scopus 로고
    • Forecasting financial condition of Chinese listed companies based on support vector machine
    • Ding Y., Song X., and Zen Y. Forecasting financial condition of Chinese listed companies based on support vector machine. Expert Systems with Applications 34 (2008) 3081-3089
    • (2008) Expert Systems with Applications , vol.34 , pp. 3081-3089
    • Ding, Y.1    Song, X.2    Zen, Y.3
  • 37
    • 42649098946 scopus 로고    scopus 로고
    • Slope reliability analysis using a support vector machine
    • Zhao H.B. Slope reliability analysis using a support vector machine. Computers and Geotechnics 35 3 (2008) 459-467
    • (2008) Computers and Geotechnics , vol.35 , Issue.3 , pp. 459-467
    • Zhao, H.B.1
  • 38
    • 42649085069 scopus 로고    scopus 로고
    • Support vector machine applied to settlement of shallow foundations on cohesionless soils
    • Samui P. Support vector machine applied to settlement of shallow foundations on cohesionless soils. Computers and Geotechnics 35 3 (2008) 419-427
    • (2008) Computers and Geotechnics , vol.35 , Issue.3 , pp. 419-427
    • Samui, P.1
  • 41
    • 0038823672 scopus 로고    scopus 로고
    • Automating hierarchical document classification for construction management information systems
    • Caldas C.H., and Soibelman L. Automating hierarchical document classification for construction management information systems. Automation in Construction 12 (2003) 395-406
    • (2003) Automation in Construction , vol.12 , pp. 395-406
    • Caldas, C.H.1    Soibelman, L.2
  • 42
    • 36148977230 scopus 로고    scopus 로고
    • Support vector machine-based multi-source multi-attribute information integration for situation assessment
    • Lu J., Yang X., and Zhang G. Support vector machine-based multi-source multi-attribute information integration for situation assessment. Expert Systems with Applications 34 (2008) 1333-1340
    • (2008) Expert Systems with Applications , vol.34 , pp. 1333-1340
    • Lu, J.1    Yang, X.2    Zhang, G.3
  • 47
    • 0001023715 scopus 로고    scopus 로고
    • Application of support vector machines in financial time series forecasting
    • Tay F.E.H., and Cao L. Application of support vector machines in financial time series forecasting. Omega 29 (2001) 309-317
    • (2001) Omega , vol.29 , pp. 309-317
    • Tay, F.E.H.1    Cao, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.