Application of PPC Model Based on RAGA in Real Estate Investment Decision-Making

Shujing ZHOU, Fei WANG, Yancang LI

.

DOI: 10.4236/eng.2009.12012                

Abstract

According to the size of the projector function to evaluate the merits of the program, Projection Pursuit method is applied to real estate investment decision-making by using the real coding based on Accelerating Genetic Algorithm (RAGA) to optimize the Projection Pursuit Classification (PPC) process and a wide range of indicators value was projected linearly. The results are reasonable and verified with an example. At the same time, the subjective of the target weight can be avoided. It provides decision-makers with comprehensive information on all the indicators of new ideas and new methods

Keywords

Real Estate, PPC Model, Investment Decision-Making, Accelerating Genetic Algorithm

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	W. B. Brueggeman and J. D. Fisher, “Real estate finance and investment,” China Machine Press, Beijing, 2002.
[2]	M. Bertolini, M. Braglia, and G. Carmignani, “Application of the AHP methodology in making a proposal for a public work contract,” International Journal of Project Management (S026-7863), Vol. 24, pp. 422-430, 2006.
[3]	Y. Gao, H. Xue, and P. Shen, “A new rectangle branch-and-reduce approach for solving nonconvex quadratic programming problems,” Applied Mathematics and Computation (S0096-3003), Vol. 168, pp. 1409- 1418, 2003.
[4]	Z. Wang, “Comprehensive evaluation method, problems and research trends,” Management Engineering, Vol. 1, pp. 73-79, 1998.
[5]	X. Yang and Z. Shen, “Intelligent algorithm and its resources and environment system modeling,” Beijing Normal University Press, Beijing, 2005.
[6]	Z. Li, “Sustainable development and application of evaluation model,” Science Press, Beijing, 2007.
[7]	J. H Friedman and J. W. Turkey, “A projection pursuit algorithm for exploratory data analysis,” On Computer, Vol. 23, pp. 881-890, 1974.
[8]	X. Zhao, “Projection pursuit model and its application in the land and water resources,” Northeast Agricultural University, Harbin, 2006.
[9]	S. Wang and Z. Yang, “Regional agricultural eco-environ- mental quality evaluation model of projection pursuit,” Journal of the Chinese Eco-Agriculture, Vol. 14, 2006.
[10]	H. Zhou and S. Dong, “Projection pursuit based on the quality evaluation model,” Hydrology, Vol. 25, pp. 14-17, 2005.
[11]	C. Ni, S. Wang, and P. Cui, “Projection pursuit dynamic cluster model and its application in groundwater classification,” Journal of Sichuan University: Engineering and Science Edition, Vol. 38, pp. 29-33, 2006.
[12]	Z. Li, J. Wang, and X. Jin, “Evolution algorithm based forecasting mode for lake eutrophication using PPR,” Journal of Sichuan University: Engineering Science Edition, Vol. 39, pp. 47-50, 2007.
[13]	B. Fang, Z. Cheng, and H. Liu, “Application of projection pursuit model in integrated evaluation of national economy,” Operations Research and Management Science, Vol. 14, pp. 85-88, 2005.
[14]	X. Huang, C. Liang, Q. Fu, et al., “Applying PPC model based on RAGA in the evaluating the regional water resources sustainable using,” Journal of Sichuan University: Engineering and Science Edition, Vol. 35, pp. 29-32, 2003.
[15]	Q. Fu, J. Liu, and L. Wang, “Study on the PPE model based on RAGA to classify the county energy,” Journal Systems Science and Information, Vol. 2, pp. 73-82, 2004.
[16]	Q. Fu, Y. Xie, and Z. Wei, “Application of projection pursuit evaluation model based on real-coded accelerating genetic algorithm in evaluating wetland soil quality variations in the Sanjiang plain,” PEDOSPHERE, Vol. 13, pp. 249-256, 2003.
[17]	Q. Fu and X. Zhao, “The principle of projection pursuit model and its application,” Science Press, Beijing, 2006.
[18]	J. Jin and J. Ding, “Genetic algorithm and its application in water science,” Sichuan University Press, Chengdu, 2000.