DocumentCode :
3396553
Title :
The application of ISM in the commodity residential investment estimation
Author :
Wang, Chunjuan ; Xiao, Yuejun ; Zhao, Chunxiao
Author_Institution :
Project Manage. Inst., China Univ. of Min. & Technol., Xuzhou, China
Volume :
3
fYear :
2010
fDate :
9-10 Oct. 2010
Firstpage :
127
Lastpage :
130
Abstract :
The investment estimation of construction project is critical in the stage of feasibility study, the result directly impacts on investment decision-making, Aiming at insufficient scientific defects of the artificial neural network which is applied in selecting input vector, ISM (Interpretative Structural Model) would be applied to analysis the factor affecting commercial house cost, the levels of the influencing factors would be divided by the influencing grade to the cost of commercial houses so as to select a greater impact factors on the cost as the input vector, and make the application of artificial neural network in the investment estimates are more reliability.
Keywords :
construction; costing; decision making; investment; neural nets; project management; ISM application; artificial neural network; commercial house cost; commodity residential investment estimation; construction project; influencing grade; interpretative structural model; investment decision-making; Investments; RNA; Silicon; Investment Estimation; Project Management; interpretative structural model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
Type :
conf
DOI :
10.1109/FITME.2010.5655419
Filename :
5655419
Link To Document :
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