基于ANP-Fuzzy的高校研究生科研成果转化评价:模型构建与实证

ANP-Fuzzy-Based Evaluation of Research Achievement Transformation in University Graduate Students: Model Construction and Empirical Study

摘要:

本研究以高校研究生科研成果转化为研究对象,构建ANP-Fuzzy综合评价模型,通过整合网络分析法(ANP)与模糊综合评价法(Fuzzy),动态分配指标权重并量化模糊信息,解决了传统方法在复杂指标依赖与主观不确定性上的局限。基于“投入—过程—产出—影响”四维评价体系,对10所高校科研团队进行实证分析,结果显示:整体转化效率处于中高水平,其中“转化过程”与“转化产出”为核心驱动力,而“转化投入”中个人能力建设不足、“转化影响”中政策建议采纳滞后是主要短板。由此,提出以系统性思维统筹资源协同配置、产学研深度联动、动态监测反馈与风险分级管控的多维策略,旨在构建可持续的高校研究生科研成果转化生态系统。

Abstract:

This study focuses on the transformation of scientific research achievements by graduate students in universities. By constructing an ANP-Fuzzy comprehensive evaluation model, which integrates the Analytic Network Process (ANP) and Fuzzy Comprehensive Evaluation Method (Fuzzy), it dynamically assigns indicator weights and quantifies fuzzy information, thereby addressing the limitations of traditional methods in handling complex indicator interdependencies and subjective uncertainties. Based on a four-dimensional evaluation framework of "Input-Process-Output-Impact," an empirical analysis was conducted on research teams from 10 universities. The results reveal that the overall transformation efficiency is at a moderate to high level, with "transformation process" and "transformation output" identified as core driving forces. However, insufficient capacity building in "transformation input" and lagging adoption of policy recommendations in "transformation impact" emerge as critical bottlenecks. Consequently, this study proposes multidimensional strategies guided by systematic thinking, including coordinated resource allocation, deep collaboration among industry, academia, and research, dynamic monitoring and feedback mechanisms, and hierarchical risk management, aiming to construct a sustainable ecosystem for the transformation of scientific research achievements by graduate students in universities.