Fuzzy logic has long offered an elegant framework for reasoning under uncertainty – but designing good fuzzy systems has remained more of an art than a science. What if we could automate the design of fuzzy systems, make their internals differentiable, and even train them via gradient descent? ...
My journey to automatically generate fuzzy rules for a fuzzy engine led me to frequency-based algorithms like Apriori and FP-Growth. As I tried to understand how they work, I began to wonder if it would be possible to write a simple classifier based purely on support values. When all features in a dataset are one-hot encoded, it’s possible to calculate the support value of each feature for a given classification target. ...