Study on engineering cost estimation based on chaos theory and cost-significant theory

Author

Xiao-chen, Duan ; Jing-yan, Liu ; Jie, Di

Author_Institution

Sch. of Econ. & Manage., Shijiazhuang Railway Inst., Shijiazhuang, China

Volume

2

fYear

2009

fDate

8-9 Aug. 2009

Firstpage

556

Lastpage

559

Abstract

To solve the problems in engineering cost prediction, such as unscientific predicting techniques, high work-load and the low veracity, cost-significant theory is used to find out cost-significant items and factors. According to lots of historical time data, the auto-correlation method, G-P arithmetic and calculating Lyapunov exponent is adopted, which simplified the trouble and high work-load of estimation. Theoretical derivation and practical verification proved that the proposed chaos model is fit for short-term prediction of engineering cost estimation.

Keywords

Lyapunov methods; arithmetic; chaos; construction industry; costing; project management; statistical analysis; G-P arithmetic; Lyapunov exponent; auto-correlation method; chaos theory; construction project; cost-significant theory; engineering cost estimation; historical time data; short-term prediction; statistical analysis; Autocorrelation; Chaos; Chaotic communication; Cities and towns; Costs; Delay effects; Engineering management; Investments; Railway engineering; Systems engineering and theory; Chaos theory; Cost-significant theory; Engineering cost prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on

Conference_Location

Sanya

Print_ISBN

978-1-4244-4247-8

Type

conf

DOI

10.1109/CCCM.2009.5267688

Filename

5267688