基于模糊FMEA-VIKOR的人工智能企业知识产权质押融资风险预警  

Early Warning of Financing Risks of Intellectual Property Pledge in Artificial Intelligence Enterprises Based on Fuzzy FMEA-VIKOR

作　　者：宋瑞敏[1] 董璐 SONG Rui-min;DONG Lu(Guilin University of Electronic Technology,Guilin 541004,China)

机构地区：[1]桂林电子科技大学,广西桂林541004

出　　处：《模糊系统与数学》2021年第5期106-117,共12页Fuzzy Systems and Mathematics

摘　　要：本文基于企业自身角度,首先通过访谈和问卷调查等方式,建立较完善的人工智能企业FMEA失效故障模式。其次针对FMEA中严重程度(S)、发生频度(O)、不易探测度(D)的三个维度,采用专家语言变量进行评价,结合模糊AHP和最大偏差法计算S、O、D的综合权重,并利用VIKOR对FMEA中的风险优先系数进行排序。最后,以科大讯飞有限公司为例,通过敏感性分析验证了模糊FMEA-VIKOR模型的合理性。得出结论:知识产权成果转化、技术可替代性、产品营销等风险在知识产权质押融资中的风险最大。In the new economic era of innovation-driven development,the role of emerging artificial intelligence enterprises in economic development cannot be underestimated.From the perspective of the enterprise itself,this paper first establishes the FMEA risk failure mode for artificial intelligenceenterprises through interviews and questionnaires.Secondly,expert language variables were used toevaluate the risk mode severity(S),occurrence frequency(O)and undetectability(D)in FMEA.Fuzzy AHP-EAM and maximum deviation method were used to calculate the comprehensive weightof risk factors,and VIKOR was used to rank the risk priority coefficient in FMEA.Finally,takingIFA-VIKor Co.,Ltd.as a case,the rationality of the fuzzy FMEa-Vikor model is verified throughsensitivity analysis,and it is concluded that the risk of intellectual property achievement transforma-tion,technology alternative banks and product marketing risk are the biggest risks in the financing ofintellectual property pledge.

关 键 词：人工智能企业 知识产权质押融资﹔FMEA 模糊AHP-EAM 最大偏差法 

分 类 号：O159[理学—数学]