We present a deep learning model for finding human-understandable connections between input features. Our approach uses parameterized, differentiable activation function, based on the theoretical background of nilpotent fuzzy logic and multi-criteria decision-making (MCDM). The learnable parameter has semantic meaning indicating level compensation neural network determines parameters using grad...