The design of machine motion profiles may be a complex and time-consuming process. The application of a structured method permits to reduce the design cycle time and optimize the problem solutions. This paper presents a fuzzy approach to design indexing systems composed by a rotary globoidal cam coupled with a rotary table. The fuzzy theory provides a systematic framework to model vague variables and supports the designer in selecting effective solutions. This study proposes a mix of design problems, generating a single fuzzy multiobjective problem. The global solution is represented by a fuzzy mix of each single solution related to each single minor problem. The final result may be used to support a designer in the definition of a proper motion profile and to generate an initial solution for optimization algorithms. This paper also wants to compare this fuzzy logic with the traditional approach in order to understand advantages and constraints during the design stage. For this reason, a group of designers has been involved. Half of them (experimental group) has adopted the experimental fuzzy approach, and the other half (control group) has applied a conventional approach. The experimental group exhibited a higher and more repeatable speed than the control group in the realization of this design task, guaranteeing the quality of the resulting motion profiles.