Uncertainty representation is the academic concept and methodological approach concerned with formally capturing, encoding, and communicating the inherent imprecision, variability, or lack of complete knowledge associated with data, models, or system states. It investigates the nature and sources of uncertainty, develops formalisms and techniques (including probabilistic, possibilistic, and interval-based methods) for its explicit articulation, and is significant for enabling rigorous analysis, robust inference, and informed decision-making in the presence of incomplete or unreliable information.