Soaring is a recreational activity and competitive sport where individuals fly un-powered aircrafts known as gliders. Soaring place selection process depends on a number of factors, resulting in a complex decision-making task. In this paper, we propose the use of the dmFSQL language for fuzzy queries as one of the techniques of Data Mining, which can be used to solve the problem of offering the better place for soaring given the environment conditions and customer characteristics. After doing a process of clustering and characterization of a Customers Database in a Data Warehouse we are able of classify next customer in a cluster and offer an answer according it.