A type-2 fuzzy logic system approach to train Honduran coffee cuppers
Wilfredo C. Flores, Gracia M. Pineda · 2016
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.