The Role of Fuzzy Logic in Neural Network Research A Bibliometric Analysis
Аннотация
Among many fields, fuzzy logic finds uses in control systems, image processing, natural language processing, medical diagnostics, and artificial intelligence. This work clarifies the present situation of research and possible future directions by bibliometric analysis of research publications on fuzzy logic. Using Scopus database data, we found 110,410 scholarly papers on fuzzy logic published between 1953 and 2023. Four study themes were developed to investigate fuzzy logic research's future course as well as present situation. Among the other analytical tools the study used were Biblioshiny, R Studio, Python, VOSviewer, Stata, and Microsoft Excel. From 1953 to 2020 and from 2020 to 2023, data show a significant increase in the volume of papers published in publications targeted on the digital economy. After India, China is currently the second biggest contributor to studies on fuzzy logic. More fields will look at fuzzy logic in the next years, therefore advancing knowledge of its application in numerous spheres. By providing a thorough summary of the present situation of trust-related research in fuzzy logic and acting as a basis for future investigations in this dynamic and growing topic, this bibliometric analysis gives scholars a useful resource.