The paper proposes three multi-criteria decision-making (MCDM) methods for the selection
of an industrial robot for a universal, flexible assembly station, taking into consideration the
technical and performance parameters of the robot. Fuzzy versions of AHP and TOPSIS
methods as well as SMART were chosen from the variety of MCDM methods as they represent
different attitudes to analysis. In order to minimise the impact of the method applied on
the final decision, a list of results of the analyses has been developed and a final classification
has been made based on decision makers’ preferences concerning selected parameters of the
robot.