Entropy weight fuzzy synthetic evaluation-based risk evaluation for real estate agent construction project

Effective risk management is essential to the success of real estate projects. However, in fact most of statistics emerging in the process of risk management are either ambiguous or unquantifiable, which makes it very hard to fathom. Fuzzy mathematics, to the contrary, is superior and feasible in the way to enable assessment by means of expressive variables. This article constructs a risk index system for real estate enterprise's construction project by means of Delphi method, and then quantifies and analyzes the risk factors by the method of entropy weight fuzzy synthetic evaluation. The case study demonstrates that the fuzzy synthetic evaluation model is practical for estate enterprise's agent construction project prior to the investment and during the contract negotiation.