Bilateral Matching Decision Method for Two-Stage House Leasing Based on FBWM

Based on the situation of the long-term rental market, this method aims to improve the existing bilateral matching decision method, and presents an efficient decision method for matching the renters and tenants. Considering the influence of market thickness and demand, we takes Bilateral Matching Decision Method for Two-stage Housing Lease Based on FBWM after dividing the city into several parts. This decision method can reduce the cost of renters and tenants for providing information and inspecting listings, providing an efficient means of matching. First, considering the uncompromising conditions in the rental, we add a hard indicators filter. Pairs that do not meet the rigorous conditions will be filtered out. Subsequently, the satisfaction is calculated based on the weights of both parties. When calculating satisfaction, the weight is taken instead of the indicator as a variable, and the FBWM is used to calculate the weights to reduce the cost of renters and tenants and deal with the dilemma of fuzzy language. Finally, a multi-objective optimization model is established and transformed into a single-objective optimization model for solving.