• DocumentCode
    2455122
  • Title

    An efficient estimating model for construction engineering and its application based on grey system theory

  • Author

    Chen, Manying ; Gao, Xuanneng

  • Author_Institution
    Coll. of Civil Eng., Huaqiao Univ., Xiamen, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    3814
  • Lastpage
    3817
  • Abstract
    Based on the grey relative analysis of grey system theory, an efficient estimating model for construction engineering was established. Firstly, the characteristic parameters of the construction engineering were determined to form the parameter coefficients matrices of the typical project and the project to be evaluated so as to test the suitability of the typical project. Secondly, the relational degree between the typical project and the project to be evaluated was calculated and analyzed, and the costs of the three most similar typical projects to that of the project to be evaluated were carefully chosen as sample data, and then the cost of the project to be estimated was calculated and its reliability was tested. Finally, the efficient estimating model was applied to estimate the cost of a real case. The results showed that the estimating model has better precision, higher efficiency and provide a reliable basis for the investment decision.
  • Keywords
    construction; costing; decision theory; grey systems; investment; matrix algebra; project engineering; construction engineering; cost estimation; efficient estimating model; grey relative analysis; grey system theory; investment decision; parameter coefficients matrices; Analytical models; Civil engineering; Estimation; Investments; Reliability theory; construction engineering; efficient estimating model; grey relative analysis; grey system theory; investment decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965070
  • Filename
    5965070