Computer Aided Design of Architecture Engineering Based on Mathematical Model of AHP

Abstract:

In this paper we introduced AHP method in bidding management of construction engineering, and use the MATLAB software to establish the bidding computer analysis system. This paper expounds AHP of the construction bidding process, and design AHP of computer bidding management system according to it. In order to verify the applicability of the model in bidding management system, we use MATLAB software to design bidding data analysis and simulation experiment of the construction. Through the calculation we obtain MATLAB visual display window of bid data analysis. At 50 steps, the convergence residual is, which meets the design requirement of accuracy. It provides a theoretical reference for the bidding management of construction process.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 877-880
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.877
• Online since: May 2014
• Authors: Tao Meng*
• Keywords: AHP Method, Bidding, Constriction Project, MATLAB Software, Numerical Analysis, Residual

References

[1] Gong Huazhang. Enterprise financial management-China petroleum financial management and reform practice [M]. Economic Science Press, 2011: 45-62.

[2] Wang Yu. The strategic change and the performance study under enterprise external environment driving [M]. Southwestern University of Finance and Economics press, 2012: 23-45.

[3] Zheng Yu. Modern enterprise management-theory, method and application [M]. Tsinghua University press, 2011: 78-90.

[4] He Fengyang, Liu Jianping. Path of Chinese CPI price analysis before and after the financial crisis- based on empirical research of structure change Theory [J]. Industry and economy review, 2012(1): 106-113.

[5] Li Mao, Ren Xueheng, Li Tao. Digital filter design and simulation based on MATLAB/Simulink [J]. Magnetic materials and devices, 2011(1): 59-61.

[6] Liu Xu, Mao Guojun. Approximate mining algorithm of frequent closed item sets in data stream [J]. Journal of electronic, 2011, 35(5): 900-905.

[7] Li Guohui, Chen Hui, Yang Bing. Data flow prediction query algorithm based on probabilistic model [J]. Computer science, 2012, 35(4): 66-69.

[8] Qin Shouke, Qian Weilin, Zhou Aoying. Data stream change detection algorithm based on fractal technology [J]. Journal of software, 2011, 17(9): 1969-(1979).

[9] Chen Anlong, Tang Changjie, Yuan Chang, Zhu Mingfang. Data stream compression algorithm based on wavelet and coupling characteristics [J]. Journal of software, 2011, 18(2): 177-184.

[10] Zhu Xueling, Lan Jun, Li Shouqi, Jia Yan. Data stream anomaly detection based on tensor decomposition [J[. Computer engineering and science, 2012, 31(6): 75-78.