Study on Real Estate Project Investment Decision-Making Based on Principal Component Analysis and Adaptive Network-Based Fuzzy Inference System

A new method based on the integration of principal component analysis (PCA) and adaptive network-based fuzzy inference system ANFIS) is put forward for selecting the real estate project. Firstly, principal component analysis (PCA) is used to reduce the evaluation index dimensions. And then, adaptive network-based fuzzy inference system (ANFIS) is used to evaluate the real estate projects. In order to grasp this method better, finally, the paper provides a case to demonstrate the application of this method in selecting the real estate project. The case has shown that the method applied to the real estate project investment decision-making is feasible and reliable.