Combining rule-based expert systems and artificial neural networks for mark-up estimation

Construction Management and Economics

Volumn 17, Issue 2, 1997, Pages 169-176

  Li, Heng ^a   Love, Peter E D ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b DEAKIN UNIVERSITY   (Australia)

Author keywords

Explanation facility; Hybrid systems; Mark up decision; Rule extraction

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; CONTRACTORS; DECISION MAKING; DECISION SUPPORT SYSTEMS; ELECTRONIC TRADING; EXTRACTION; HYBRID SYSTEMS; NEURAL NETWORKS;

CONSTRUCTION PROJECTS; ESTIMATION SYSTEMS; INNOVATIVE APPROACHES; INTELLIGENT DECISION SUPPORT SYSTEMS; MARK-UP; RULE BASED EXPERT SYSTEMS; RULE EXTRACTION; RULE EXTRACTION METHOD;

EXPERT SYSTEMS;

EID: 84991380457     PISSN: 01446193     EISSN: 1466433X     Source Type: Journal    
DOI: 10.1080/014461999371664     Document Type: Article

References (23)

1. Broemser, G.M. (1968) Competitive bidding in the construction industry, Ph.D dissertation Stanford University.
2. Clancey, W.J. (1993) Notes on epistemology of a rule-based expert system, Artificial Intelligence, 59, 197-204.
3. Craven, M.W. and Shavlik, J.W. (1994) Using sampling and queries to extract rules from trained neural networks, in Machine Learning, Proceedings of the Eleventh International Conference, Cohen, W.W. and Hirsh, H. (eds) Morgan Kaufmann, San Francisco.
4. Dozzi, S.P. and AbouRizk, S.M. (1996) Utility-theory model for bid mark-up decisions, Journal of Construction Engineering and Management, 122(2), 119-24.
5. Eastham, R.A. (1987) The use of content analysis to determine a weighted model of the contractor’ s tendering process, in Building Cost Modelling and Computers, Brandon, P.S. (ed), E & FN Spon, London.
6. Fu, L.M. (1994) Rule generation from neural networks, IEEE Transaction on Systems, Man and Cybernetics, 24(8), 1114-24.
7. Hackemer, G.C. (1970) Profit and competition, estimating and bidding strategy, Building Technology and Management, 8(12), 181-91.
8. Hillebrandt, P.M. (1985) Economic Theory and the Construction Industry, Macmillan, London.
9. Khanduri, D., Elam, H.B. and Lee, S.M. (1995) Modelling wind-induced inference effects-building design with a hybrid KBS approach, in Proceedings of Sixth International Conference on Computing in Civil and Building Engineering, Berlin, pp. 221-8.
10. Kohonen, T. (1988) An introduction to neural computing. Neural Networks, 1(1), 3-16.
11. Li, H. (1994) Machine Learning of Design Concepts, Computational Mechanics Press, UK.
12. Li, H. (1996) Neural network models for intelligent support of mark-up estimation, International Journal of Engineering Construction and Architectural Management. 3(1), 69-82.
13. Moselhi, O., Hegazy, T., and Fazio, P. (1991) Neural networks as tools in construction, Journal of Construction Engineering and Management, 117(4), 606-25.
14. Moselhi, O., Hegazy, T. and Fazio, P. (1993) DBID: analogy based DSS for bidding in construction, Journal of Construction Engineering and Management, 119(3), 466-70.
15. Quinlan, J.R. (1986) Induction of decision trees, Machine Learning, 1(1), 81-106.
16. Rumelhart, D.E., and McClelland, J.L. (1986) Learning internal representation by error propagation. In Parallel Distributed Processing: Exploration in the Microstructure of Cognition. Vol. 1, Foundations, Rumelhart, D.E. and McClelland, J.L. (eds) MIT Press, Cambridge, MA, pp. 3-14.
17. Shash, M. (1993) Factors considered in tendering decisions by top UK contractors, Construction Management and Economics, 12(1), 111-18.
18. Towell, G.G. and Shavlik, J.W. (1993) The extraction of refined rules from knowledge-based neural networks, Machine Learning, 13(1), 71-101.
19. Thrun, S.B. (1993) Extracting Provably Correct Rules From Artificial Neural Networks, IAI-TR-93-5, Institute for Informatics III, University of Bonn.
20. Tucker, S.N., Love, P.E.D., Tilley, P.A., Salomonsson, G.S., MacSporran, C. and Mohamed, S. (1996) Perspective’ s of Construction Contractors Communication and Performance Practices, Pilot Survey Report, DOC 96/29 (M), DBCE, CSIRO Press.
21. Uher, T.E. (1988) Australian subcontracting practice, Australian Institute of Building Papers, 3, 61-9.
22. Wick, M.R. (1992) Expert system explanation in retrospect: a case study in the evolution of expert system explanation, Journal of Systems and Software, 19(2), 159-69.
23. Ye, L.R. and Johnson, P.E. (1995) The impact of explanation facilities on user acceptance of expert systems advice, MIS Quarterly, June, 157-72.