Technology maturity evaluation has been applied more and more deeply in the management of science and technology projects.However,the current evaluation work relies on manual review and analysis of a large amount of e-valuation information,and lacks standardized processing and storage of evaluation data.As a result,the evaluation efficiency is low,and it is difficult to develop relevant machine learning-assisted evaluation models.Based on the o-riginal data of project technology maturity evaluation,data content commonality analysis is carried out,a data pro-cessing method based on the Vision Transformer framework is proposed,and a new data structure is designed,thus,the standardization of technology maturity evaluation data and the construction of standardized database are re-alized.Finally,the authenticity of the database is verified by Fleiss-Kappa score.This method can optimize the data storage mode,improve the data quality,and form the data basis of the machine learning model.
关键词
数据标准化/数据库构建/深度学习/技术成熟度评价
Key words
data standardization/the construction of database/deep learning/technology readiness evaluation
维普
万方数据