基于区间直觉模糊记分函数的动态专利质量评价方法  

Dynamic Patent Quality Evaluation Method Based onInterval-valued Intuitionistic Fuzzy Score Function

作　　者：文海漓 夏飞 WEN Haili;XIA Fei(Intellectual Property Institute,Nanjing University of Science&Technology,Nanjing 210094,China;Land Sea Economic Integration Collaborative Innovation Center,Guangxi University of Finance and Economics,Nanning 530003,China)

机构地区：[1]南京理工大学知识产权学院,江苏南京210094 [2]广西财经学院陆海经济一体化协同创新中心,广西南宁530003

出　　处：《运筹与管理》2023年第3期191-197,共7页Operations Research and Management Science

基　　金：国家社会科学基金青年项目(21CJY065);广西财经学院陆海经济一体化协同创新中心2022专项课题(2022YB18)。

摘　　要：记分函数是对区间直觉模糊集进行比较和集结的重要工具,其排序能力直接影响评价结果的优劣。本文在总结整理现行的区间直觉模糊集记分函数的基础上,从直觉符合性和能否描述决策者模糊判断两个层面,系统分析了现有记分函数的不足。并在此基础上,引入集对分析方法构建改进的区间直觉模糊集记分函数,并证明了其相关性质。根据提出的记分函数,本文设计区间直觉模糊型动态群决策方法,并将其应用于专利质量评价中。Multi criteria decision making with intuitionistic fuzzy sets is a hot topic in the field decision making in recent years.Intuitionistic fuzzy sets use membership degree,non-membership degree and hesitation degree to represent fuzzy decision information,which can more flexibly represent and process fuzzy information.Because of the difficulty of determining the three critical degrees,Atanassov further extends the concept of intuitionistic fuzzy set and proposes interval valued intuitionistic fuzzy sets,which has been widely used in logistics management,energy analysis,decision-making analysis and many other fields.The score function of interval intuitionistic fuzzy sets is an important way to transform interval fuzzy values into accurate values.However,the score function of interval intuitionistic fuzzy sets also has the problems of anti-intuitionistic scoring results and ignoring interval information,which affect the reliability and objectivity of group preference aggregation.Therefore,this paper first proposes an improved score function based on set pair theory on the basis of analyzing the defects of the existing scoring function of interval intuitionistic fuzzy sets.Secondly,based on the improved scoring function of interval intuitionistic fuzzy sets,this paper designs an interval intuitionistic fuzzy dynamic group decision-making model based on the scoring function,and applies it to patent quality evaluation,providing a good information fusion framework for patent quality evaluation.From the perspective of application,patent quality evaluation involves many disciplines,with strong cross cutting in knowledge fields,and the trend of diversified evaluation indicators is increasingly obvious.Therefore,patent quality evaluation is usually a multi-attribute group decision-making problem involving multiple experts.Through the analysis of the existing evaluation index system,this paper intends to evaluate the patent quality from three aspects:patent technology level,patent transformation benefits,and patent protectio

关 键 词：区间直觉模糊集 记分函数 动态群决策 专利质量 

分 类 号：C934[经济管理—管理学]