How to combine Fuzzy C-means clustering and Support vector regression for building a hybrid model FCM-SVR in R?

Question

I have read one article and found that they used the Fuzzy C-means clustering algorithm and support vector regression for building the FCM-SVR predictive model. I see they split the data into 3 clusters by FCM. Then, each cluster builds an SVR model. Finally, they get a FCM-SVR hybrid model. However, I do not understand how can they build SVR models from clusters? How can they build the FCM-SVR hybrid model? P/s: I am using R programming language.