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

机译:基于RAGA的PPC模型在房地产投资决策中的应用。

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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
机译:根据投影机功能的大小来评估程序的优劣,通过基于加速遗传算法(RAGA)的实数编码来优化投影追踪分类(PPC),将投影追踪方法应用于房地产投资决策。过程和线性指标的广泛指标值。结果是合理的,并举例说明。同时,可以避免主观上的目标体重。它为决策者提供有关新思想和新方法的所有指标的全面信息

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