Real Estate Investment Decision-Making Based on Analytic Network Process

Real estate investment is a high-risky and complicated activity. It is necessary to utilize scientific methods when deciding to make these complicated investments, which probably result in large financial losses. The analytic network process (ANP) can be applied to produce a comprehensive analytic framework for solving the real estate investment decision-making problem. Based on this theory, considering the dependence and feedback relationship of indices, the ANP model is established for real estate investment decision-making under certain criteria. Furthermore, an example of actual investment project in Shanghai is provided to illustrate the proposed ANP model. In this case, several different schemes were analyzed under multiple criteria in order to achieve the best investment scheme. The results show that ANP model can reflect the actual situation of real estate investment schemes and help decision makers to choose the fittest scheme. ANP model is useful and feasible in real estate investment decision-making, especially applicable to complicated real estate projects.