【摘要】 为构建新型农业经营主体数字素养评价指标体系，本文运用模糊层次分析法（FAHP）计算各指标权重，确定一个涵盖信息数据域、交流协作域、内容创造域、安全意识域、问题处理域、职业技能域等6个维度以及17个子指标的评价指标体系。结果显示，一级指标中问题处理域权重最高（0.194），信息数据域、交流协作域、职业技能域权重均为0.173，安全意识域、内容创造域权重分别为0.150、0.137；各二级指标权重排序符合新型农业经营主体数字化需求（问题处理域中发现问题能力权重高于解决问题能力，安全意识域中保护隐私安全权重最高），且所有权重通过一致性检验。该评价指标体系可为培养和考核经营主体的数字素养提供参考，并积极引导新型农业经营主体提升创新能力。更多还原

【Abstract】 To construct an evaluation indicator system for the digital literacy of new agricultural management subjects, this paper uses the Fuzzy Analytic Hierarchy Process(FAHP) to calculate the weight of each indicator and establishes an evaluation index system. This system covers 6 dimensions, including the information and data domain, communication and collaboration domain, content creation domain, security awareness domain, problem-solving domain, and professional skills domain, as well as 17 sub-indicators. The results show that among the first-level indicators, the problem-solving domain has the highest weight(0.194); the information and data domain, communication and collaboration domain, and professional skills domain all have a weight of 0.173; and the security awareness domain and content creation domain have weights of 0.150 and 0.137 respectively. The weight ranking of all second-level indicators is in line with the digital needs of new agricultural management subjects(in the problemsolving domain, the weight of problem identification ability is higher than that of problem-solving ability; in the security awareness domain, the weight of privacy security protection is the highest), and all weights have passed the consistency test.This evaluation index system can provide a reference for cultivating and assessing the digital literacy of new agricultural management subjects, and actively guide them to improve their innovation capabilities.更多还原