Comparison of Mamdani type and Sugeno type fuzzy inference systems in wind power plant installations

Abstract

The wind power plant installation process is an important issue for specialists and this study has been planned due to the fact that there hasn't been any generally accepted scale in this area until today and that limited information has been reached on the use of fuzzy logic method for wind power plant installation. Fuzzy inference is the mapping of the relationship between input and output by using fuzzy logic. In this study, Mamdani and Sugeno type fuzzy inference systems (FIS) have been developed for the wind power plant installation model, and the results of these two FIS have been compared and it has been determined which the better choice is. At the same time, this study summarizes the main difference between Mamdani and Sugeno type FIS.