The paper introduces a robust proximity measure for information object features, as presented on ArXiv. It blends probabilistic analysis for quantitative traits with possibility theory for qualitative ones, comprehensive. The method tolerates measurement errors and satisfies required axioms, as shown by experiments. Researchers can apply the metric to multi‑source data integration in AI systems.