Fuzzy Sets are represented through the FuzzySet class which includes attributes for the corresponding membership and non-membership values.
Load the provided medical diagnosis data used in the literature and classify the first patient's symptoms to the correspondig diagnosis with a distance measure.
Calculate the normalized Euclidean or Euclidean distance and Hamming or Normalized Hamming distance between two Fuzzy Sets A and B.
Load the provided grayscale images and use a distance, a similarity or a misc measure to calculate the threshold of an image in order to be segmented.
Fuzzy Sets also used for classification tasks. Text classification is a typical example of classification task that can be solved by Fuzzy Sets.