I am planning to do feature selection with fuzzy features instead of normal features. Is this a good approach or not? need clarity regarding this.
Fuzzy features allow each sample to be classified into multiple classes, while normal features only allow exclusive classification into one class
Actually, the answer is based on your problem dimension.
If your problem is multidimensional and contains uncertainties, fuzzy logic is more appropriate. Otherwise, traditional approaches may be preferred.
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