Kajian Fuzzy Metode Mamdani dan Fuzzy Metode Sugeno Serta Implementasinya

Abstract

Fuzzy Mamdani method and Sugeno method have the same stages in fuzzy reasoning, but differ in the inference and defuzzification process. Fuzzy Mamdani method produces output in the form of fuzzy sets, while fuzzy Sugeno method produces output in the form of constants/linear equations. Fuzzy Mamdani method is suitable for linguistic reasoning and decision-making that requires linguistic interpretation, while fuzzy Sugeno method is suitable for system modeling, system identification, prediction, and automatic control with numerical output. From the implementation, if the production cost is increased to Rp 8,500 and the number of requests is 2,500, it is obtained with the Mamdani fuzzy method that many must be produced as many as 2,719, indicating that the amount of production is reduced and with the Sugeno fuzzy method that many must be produced as many as 2,861, indicating that production is still in the medium range.