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CASE-BASED REASONING IN EMPLOYER�S ESTIMATES

Krzysztof Zima

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b53/s21.011View metrics

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Title
CASE-BASED REASONING IN EMPLOYER�S ESTIMATES
Authors
Krzysztof Zima
Proceedings
14th International Multidisciplinary Scientific GeoConference SGEM 2014, Ecology, Environmental Economics, Education, and Legislation, Vol. 14, Book 5, Volume 3
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
Proceedings volume
14th International Multidisciplinary Scientific GeoConference SGEM 2014, Ecology, Environmental Economics, Education, and Legislation, Vol. 14, Book 5, Volume 3 · Issue Book 5, Volume 3
References14
  1. Chengalur -Smith I. N., Ballou D. P., & Pazer, H. L. Modeling the costs of bridge rehabilitation. Transportation Research Part A: Policy and Practice, 31(4), 1997, pp. 281–293;

  2. Chou J.-S., Peng M., Persad K. R., & O'Connor J. T. Quantity-based approach to preliminary cost estimates for highway projects. Transportation Research Record, vol. 1946, 2006, pp. 22–30;

  3. Cinca M., Bancea O., & Adam M. Study of energy saving in buildings for improved comfort conditions, 12th International Multidisciplinary Scientific GeoConference, SGEM 2012 Conference Proceedings, June 17-23, 2012, Vol. 5, pp. 793–800;

  4. Dumitrascu A., & Stefanoiu D. A distributed control system for greenhouse environment applications, 12th International Multidisciplinary Scientific GeoConference, SGEM 2012 Conference Proceeding, June 17-23, 2012, Vol. 5, pp. 5- 12;

  5. Duverlie P., & Castelain J. M. Cost estimation during design step: Parametric method versus case based reasoning method. International Journal of Advanced Manufacturing Technology, 15(12), 1999, pp. 895–906.

  6. Emsley M. W., Lowe D. J., Duff A. R., Harding A., & Hickson A. Data modelling and the application of a neural network approach to the prediction of total construction costs. Construction Management and Economics, 20(6), 2002, pp. 465-472;

  7. Kim G.-H., An S.-H., & Kang K.-I. Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning. Building and Environment, 39(10), 2004, pp. 1235–1242;

  8. Leśniak A., Plebankiewicz E., & Zima K. Wpływ założeń kalkulacyjnych na wynik oszacowania kosztów robot budowlanych, Czasopismo Techniczne 3-B/2012 zeszyt 20 rok 109, 2012, pp. 75-87;

  9. Leśniak A., The Application of Artificial Neural Networks in Indirect Cost Estimation, 11th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), Greece, SEP 21-27, AIP Conference Proceedings, Volume 1558, 2013, pp. 1312-1315;

  10. Lowe D. J., Emsley M. W., & Harding A. Predicting construction cost using multiple regression techniques. Journal of Construction Engineering and Management, 132(7), 2006, pp. 750 –758;

  11. Orłowski H. J. Przyczyny różnicy cen w kosztorysach ofertowych na roboty budowlane, Buduj z Głową, 3/2012.

  12. Plebankiewicz E., & Leśniak A. Overhead costs and profit calculation by polish contractors, Technological and Economic Development of Economy, Volume: 19(1) 2013, pp. 141-161;

  13. Riesbeck C., Schank R., & Hillsdale N.J. Inside Case-Based Reasoning. Lawrence Erlbaum, 1989;

  14. Sedlakova A., Vojtus J., & Burdova E. K. Design of consumer model and environmental assessment of used building materials, 12th International Multidisciplinary Scientific GeoConference, SGEM 2012 Conference Proceedings, June 17-23, 2012, Vol. 5, pp. 235 – 242.

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