Intellectual property pledge financing is an innovative application of derivative financial instruments, which provides new financing channels for enterprises with intellectual property advantages. Risk evaluation of intellectual property pledge financing is the key to sustainable financing. Giventhat the factors affecting the risk of intellectual property pledge financing are complex and difficult to quantify, scant studies have used fuzzy analytical network process (FANP) to evaluate the risks of intellectual property pledge financing comprehensively. In order to offer a feasible and versatile tool in risk evaluation of intellectual property pledge financing, this paper summarizes the influencing factors and establishes a risk evaluation model of intellectual property pledge financing through FANP. Based on questionnaire survey and expert evaluation method, this study calculates the super decision matrix, weighted super matrix and the comprehensive weight of each through Super Decision(SD) software. The results indicate that evaluation risk P1, realization risk P2, and moral risk P3 have the greatest impact on the risk evaluation of intellectual property pledge financing, followed by intellectual property management risk. Through shedding light on the risk factors, this study provides a reference for the practice of intellectual property pledge financing management.

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基于模糊分析网络过程的知识产权质押融资风险评估

知识产权质押融资是衍生金融工具的创新应用，为具有知识产权优势的企业提供了新的融资渠道。知识产权质押融资的风险评估是可持续融资的关键。鉴于影响知识产权质押融资风险的因素复杂且难以量化，很少的研究使用模糊分析网络过程（FANP）来全面评估知识产权质押融资风险。为了为知识产权质押融资风险评估提供一种可行的，通用的工具，本文总结了影响因素，建立了基于FANP的知识产权质押融资风险评估模型。在问卷调查和专家评价方法的基础上，通过Super Decision（SD）软件计算了超级决策矩阵，加权超级矩阵以及各个指标的综合权重。结果表明，评估风险P1，实现风险P2和道德风险P3对知识产权质押融资的风险评估影响最大，其次是知识产权管理风险。通过阐明风险因素，本研究为知识产权抵押融资管理的实践提供了参考。道德风险P3对知识产权质押融资的风险评估影响最大，其次是知识产权管理风险。通过阐明风险因素，本研究为知识产权抵押融资管理的实践提供了参考。道德风险P3对知识产权质押融资的风险评估影响最大，其次是知识产权管理风险。通过阐明风险因素，本研究为知识产权抵押融资管理的实践提供了参考。