The paper, posted on ArXiv, introduces a proximity measure that blends probabilistic analysis for features with possibilistic evaluation. It applies to data arriving from multiple independent sources, aiming to decide if they refer to the same physical object. By validating the measure against required axioms, the authors demonstrate its soundness. Practitioners can use it to improve data integration and resolution.