AI RESEARCH

Proximity Measure of Information Object Features for Solving the Problem of Their Identification in Information Systems

arXiv CS.AI

ArXi:2604.04939v1 Announce Type: new The paper considers a new quantitative-qualitative proximity measure for the features of information objects, where data enters a common information resource from several sources independently. The goal is to determine the possibility of their relation to the same physical object (observation object). The proposed measure accounts for the possibility of differences in individual feature values - both quantitative and qualitative - caused by existing determination errors.