Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehens...Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehensive,data-driven understanding of their developmental logic and evolution.Design/methodology/approach-An integrated methodological framework combining structural topic modeling(STM)and main path analysis(MPA)is developed.A total of 43,905 patents related to fuzzy technologies were collected from the Derwent Innovation Index.STM is applied to identify 12 representative topics within the fuzzy technology field,followed by the construction of topic-specific citation networks.MPA is then used to extract the core development paths across these topics,capturing structural dynamics and knowledge diffusion.This integration enables a multidimensional exploration of topic structures and technology trajectories,providing a frame of reference for analyzing other emerging technologies.Findings-The combined STM-MPA approach effectively identifies the classification and developmental trajectories of fuzzy-related technologies.Results highlight topic-specific knowledge flows and inter-topic linkages,offering new insights into the internal evolution and external integration of fuzzy technologies.The study demonstrates how different subfields of fuzzy technologies have progressed and interacted over time.Originality/value-This study is among the first to systematically explore the development of fuzzy technologies using large-scale patent data and a hybrid analytical framework.By integrating topic modeling with citation analysis,it captures both topic patterns and development paths.The approach enhances existing methods in technology analysis and offers new insights for innovation research,policy design and enterprise strategy.展开更多
Purpose-The purpose of this article is to conduct a main path analysis of 627 articles on the theme of Pythagorean fuzzy sets(PFSs)in the Web of Science(WoS)from 2013 to 2020,to provide a conclusive and comprehensive ...Purpose-The purpose of this article is to conduct a main path analysis of 627 articles on the theme of Pythagorean fuzzy sets(PFSs)in the Web of Science(WoS)from 2013 to 2020,to provide a conclusive and comprehensive analysis for researchers in this field,and to provide a study on preliminary understanding of PFSs.Design/methodology/approach-The research topic of Pythagorean fuzzy fields,through keyword extraction and describing the changes in characteristic themes over the past eight years,are firstly examined.Main path analysis,including local and global main paths and key route paths,is then used to reveal the most influential relationships between papers and to explore the trajectory and structure of knowledge transmission.Findings-The application of Pythagorean fuzzy theory to the field of decision-making has been popular,and combinations of the traditional Pythagorean fuzzy decision-making method with other fuzzy sets have attracted widespread attention in recent years.In addition,over the past eight years,research interest has shifted to different types of PFSs,such as interval-valued PFSs.Research limitations/implications-This paper implicates to investigate the growth in certain trends in the literature and to explore the main paths of knowledge dissemination in the domain of PFSs in recent years.Originality/value-This paper aims to identify the topics in which researchers are currently interested,to help scholars to keep abreast of the latest research on PFSs.展开更多
Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algo...Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algorithm(GKPA).Methods The global ginsenoside invention authorized patents were used as the data source to construct a ginsenoside patent self-citation network,and to identify high knowledge persistent patents(HKPP)of ginsenoside technology based on the GKPA,and extract its high knowledge persistence main path(HKPMP).Finally,the genetic forward and backward path(GFBP)was used to search the nodes on the main path,and draw the genetic forward and backward main path(GFBMP)of ginsenoside technology.Results and Conclusion The algorithm was applied to the field of ginsenosides.The research results show the milestone patents in ginsenosides technology and the main evolution process of three key technologies,which points out the future direction for the technological development of ginsenosides.The results obtained by this algorithm are more interpretable,comprehensive and scientific.展开更多
基金supported by the National Statistical Science Research Project of China(No.2024LY021).
文摘Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehensive,data-driven understanding of their developmental logic and evolution.Design/methodology/approach-An integrated methodological framework combining structural topic modeling(STM)and main path analysis(MPA)is developed.A total of 43,905 patents related to fuzzy technologies were collected from the Derwent Innovation Index.STM is applied to identify 12 representative topics within the fuzzy technology field,followed by the construction of topic-specific citation networks.MPA is then used to extract the core development paths across these topics,capturing structural dynamics and knowledge diffusion.This integration enables a multidimensional exploration of topic structures and technology trajectories,providing a frame of reference for analyzing other emerging technologies.Findings-The combined STM-MPA approach effectively identifies the classification and developmental trajectories of fuzzy-related technologies.Results highlight topic-specific knowledge flows and inter-topic linkages,offering new insights into the internal evolution and external integration of fuzzy technologies.The study demonstrates how different subfields of fuzzy technologies have progressed and interacted over time.Originality/value-This study is among the first to systematically explore the development of fuzzy technologies using large-scale patent data and a hybrid analytical framework.By integrating topic modeling with citation analysis,it captures both topic patterns and development paths.The approach enhances existing methods in technology analysis and offers new insights for innovation research,policy design and enterprise strategy.
基金the financial support by the Natural Science Foundation of Zhejiang Province(No.LQ20G010001)China Postdoctoral Science Foundation(2020M673195)National Natural Science Foundation of China(No.71671165).
文摘Purpose-The purpose of this article is to conduct a main path analysis of 627 articles on the theme of Pythagorean fuzzy sets(PFSs)in the Web of Science(WoS)from 2013 to 2020,to provide a conclusive and comprehensive analysis for researchers in this field,and to provide a study on preliminary understanding of PFSs.Design/methodology/approach-The research topic of Pythagorean fuzzy fields,through keyword extraction and describing the changes in characteristic themes over the past eight years,are firstly examined.Main path analysis,including local and global main paths and key route paths,is then used to reveal the most influential relationships between papers and to explore the trajectory and structure of knowledge transmission.Findings-The application of Pythagorean fuzzy theory to the field of decision-making has been popular,and combinations of the traditional Pythagorean fuzzy decision-making method with other fuzzy sets have attracted widespread attention in recent years.In addition,over the past eight years,research interest has shifted to different types of PFSs,such as interval-valued PFSs.Research limitations/implications-This paper implicates to investigate the growth in certain trends in the literature and to explore the main paths of knowledge dissemination in the domain of PFSs in recent years.Originality/value-This paper aims to identify the topics in which researchers are currently interested,to help scholars to keep abreast of the latest research on PFSs.
文摘Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algorithm(GKPA).Methods The global ginsenoside invention authorized patents were used as the data source to construct a ginsenoside patent self-citation network,and to identify high knowledge persistent patents(HKPP)of ginsenoside technology based on the GKPA,and extract its high knowledge persistence main path(HKPMP).Finally,the genetic forward and backward path(GFBP)was used to search the nodes on the main path,and draw the genetic forward and backward main path(GFBMP)of ginsenoside technology.Results and Conclusion The algorithm was applied to the field of ginsenosides.The research results show the milestone patents in ginsenosides technology and the main evolution process of three key technologies,which points out the future direction for the technological development of ginsenosides.The results obtained by this algorithm are more interpretable,comprehensive and scientific.
