Conventional PID controllers have been a practical solution when controlling linear processes, but their time response is degraded in many non-linear processes. Fuzzy control has non-linear capabilities that may improve the performance against industrial processes. This article presents a comparative analysis for tuning fuzzy architectures: Direct, Supervisor, and Parallel in order to provide guidance in design decision-making. A non-linear mathematical model and continuous stirred tank reactor process have been considered to assess reference tracking and disturbance rejection. Results show that the Parallel fuzzy logic controller presents a more consistent response in the temporal performance indexes.