Construction of an applicability evaluation system for digital fingerprint technology of museum collections based on the analytic hierarchy process-entropy weight method

In cultural relic evaluation, the assessment of technology suitability for specific application scenarios serves as a critical prerequisite for ensuring relic safety, efficient utilization, and sustainable transformation of outcomes. This study focuses on digital fingerprint technology for museum collections, aiming to evaluate its suitability for the identification and authentication of these cultural objects. Firstly, through comprehensive technical logic analysis, pilot demand investigation, and expert interviews, this work systematically identifies key assessment points for the technology's applicability and accordingly constructs an evaluation index system. Secondly, it integrates the analytic hierarchy process (AHP) and entropy weight method to establish a weight assignment model that combines subjective and objective weighting approaches. Ultimately, a multi-tiered evaluation framework is developed, comprising three criterion layers, thirteen factor layers, and fifty-eight indicator layers. This system can be directly applied to assess the suitability of digital fingerprint technology for museum collections, providing a scientific basis for technological optimization and iterative refinement.