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Cleveland, T G and Fashokun, A (2006) Construction-Associated Solids Loads with a Temporary Sediment Control BMP. Journal of Construction Engineering and Management, 132(10), 1122–5.

Doğan, S Z, Arditi, D and Günaydın, H M (2006) Determining Attribute Weights in a CBR Model for Early Cost Prediction of Structural Systems. Journal of Construction Engineering and Management, 132(10), 1092–8.

  • Type: Journal Article
  • Keywords: Construction costs; Cost estimates; Decision making; Decision support systems; Spreadsheets; Optimization models; Predictions;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2006)132:10(1092)
  • Abstract:
    This paper compares the performance of three optimization techniques, namely feature counting, gradient descent, and genetic algorithms (GA) in generating attribute weights that were used in a spreadsheet-based case based reasoning (CBR) prediction model. The generation of the attribute weights by using the three optimization techniques and the development of the procedure used in the CBR model are described in this paper in detail. The model was tested by using data pertaining to the early design parameters and unit cost of the structural system of 29 residential building projects. The results indicated that GA-augmented CBR performed better than CBR used in association with the other two optimization techniques. The study is of benefit primarily to researchers as it compares the impact attribute weights generated by three different optimization techniques on the performance of a CBR prediction tool.

Kassab, M, Hipel, K and Hegazy, T (2006) Conflict Resolution in Construction Disputes Using the Graph Model. Journal of Construction Engineering and Management, 132(10), 1043–52.

Lapinski, A R, Horman, M J and Riley, D R (2006) Lean Processes for Sustainable Project Delivery. Journal of Construction Engineering and Management, 132(10), 1083–91.

Na, L J, Ofori, G and Park, M (2006) Stimulating Construction Innovation in Singapore through the National System of Innovation. Journal of Construction Engineering and Management, 132(10), 1069–82.

Perng, Y, Juan, Y and Chien, S (2006) Exploring the Bidding Situation for Economically Most Advantageous Tender Projects Using a Bidding Game. Journal of Construction Engineering and Management, 132(10), 1037–42.

Spielholz, P, Davis, G and Griffith, J (2006) Physical Risk Factors and Controls for Musculoskeletal Disorders in Construction Trades. Journal of Construction Engineering and Management, 132(10), 1059–68.

Srour, I M, Haas, C T and Borcherding, J D (2006) What Does the Construction Industry Value in Its Workers?. Journal of Construction Engineering and Management, 132(10), 1053–8.

Tang, C M, Leung, A Y and Lam, K C (2006) Entropy Application to Improve Construction Finance Decisions. Journal of Construction Engineering and Management, 132(10), 1099–113.

Yiu, T W, Cheung, S O and Mok, F M (2006) Logistic Likelihood Analysis of Mediation Outcomes. Journal of Construction Engineering and Management, 132(10), 1026–36.

Yu, J, Lee, H and Kim, W (2006) Evaluation Model for Information Systems Benefits in Construction Management Processes. Journal of Construction Engineering and Management, 132(10), 1114–21.