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   PDF    HTML     5,721 Downloads   10,098 Views   Citations


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

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S. ZHOU, F. WANG and Y. LI, "Application of PPC Model Based on RAGA in Real Estate Investment Decision-Making," Engineering, Vol. 1 No. 2, 2009, pp. 106-110. doi: 10.4236/eng.2009.12012.

Conflicts of Interest

The authors declare no conflicts of interest.


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