A type-2 fuzzy logic system approach to train Honduran coffee cuppers

Honduran coffee is one of the best coffees worldwide. Its cultivation and subsequent quality control require the use of expert cuppers. In this work a fuzzy logic type-2 expert system is used as a tool to obtain the quality level of a Honduran cup of coffee based on subjective criteria used by cuppers. A case is shown to prove the effectiveness of the expert system. The system was tested in more than 500 cases of which 97% of the time cuppers agreed with the results of the expert system.