Methods of Decision Making and Fuzzy Sets in the Selection of the Optimal Location for a Metro Station

The paper is devoted to solving the problem of selecting the optimal location of a metro station in a microdistrict with established urban development and infrastructure. The problem is solved using a combined method based on the method of multi-criteria selection of alternatives and fuzzy sets theory. As criteria are considered both absolute, such as distance to the surface, the presence of a ground lobby, distance to the center of passenger traffic, etc., and relative, such as the convenience of the location of the exit for different categories of population living in the territory of the microdistrict. Calculating weighted degrees of preference for a relative criterion for all options is a separate sub-task and uses a number of absolute indicators for several criteria for different categories of the population. The final selection of an alternative is made in two options: for the case of equilibrium and for non-equilibrium attributes.