In  tunneling,  it  is  very  important  to  select  the  correct  tunneling  machines.  Choosing  a  wrong  method  may  be  very  costly  to the company. There are many parameters affecting the decision stage of selection of the tunneling machine. Geology (C1), ground conditions (C2),  tunnel  properties  (C3),  geo-environmental  hazard  (C4),  technical  properties  of  machines  (C5),  and  project  properties  (C6)  are the main selection criteria. Using these topics and the sub-criteria belonging to each topic, the fuzzy analytic hierarchy method is employed to  select  the  most  suitable  tunneling  machine.  Tunnel  boring  machines  are  mainly  divided  into  two  as  hard  and  soft  ground  machines. The number  of  tunnels  under  cities  constitute  a  large  amount  due  to  subways,  underground  roads,  etc.  These  tunnels  are  mostly  shallow tunnels. Therefore, the variety of soft ground tunneling machines increase.
In this research, soft ground type machines and their parameters are evaluated. After evaluation with the fuzzy analytic hierarchy process, geology (C1) turned out to be the factor most influencing the selection of machine type, and M3 (EPBM) is found to be the most suitable machine for soft ground conditions. In addition, the research method and the study results are thought to be helpful in selecting the machine type for other tunnels which will soon be started in Turkey.