Performance of different membership functions in stress classification with fuzzy logic

Stress has become an indispensable part of today's world. can have a very serious negative impact on human health. Knowing the intensity stress people is important in order to cope with it. In this study, 4 different Fuzzy Logic (FL) structures were used classify through sleep. established structures, detection data set sleep and obtained from Kaggle was used. FL created, blood oxygen level respiratory rate taken as input classification made accordingly. Their performance evaluated by using membership functions structures. As result experimental studies, F model generalized bell showed more successful results than models other functions.