👉 Fuzziness is a concept in artificial intelligence and machine learning that refers to the degree to which an input data set contains noise or uncertainty. In other words, it measures how much the data can be distorted by outliers, missing values, or other sources of variation. Fuzziness helps in creating models that are more robust, reliable, and interpretable when dealing with noisy data.
