A Bibliometric Approach and Systematic Exploration of Global Research Activity on Fuzzy Logic in Scopus Database
Sugyanta Priyadarshini, Nisrutha Dulla · 2022
Fuzzy logic stands as a viable approach toward models of reasoning and logic ranging from approximating human reasoning, delivering faster decision, manipulating uncertain statistics to paralleling the tradeoff between accuracy and significance. The objective of the current research work is to provide a structural overview and systematic review of the voluminous research work conducted on application of fuzzy logic in diverse dimensions and to assist the researchers in making insights into the subject. Bibliometric analysis is put into use to extract 493 records from Scopus database as a “CSV” file from 1990 till June 10, 2021, out of which 481 articles written in English language is taken into consideration. The extracted data are explored through Vos viewer to put light on eminent contributing countries and authors, frequent author keywords, cited references, total link strength, and co-occurrence of author keywords. Microsoft Power bi is used for graphical illustration of records. Out of 481 articles, 49.48% are research articles, 38.04% are conference papers, and 12.47% are review articles. A sharp peak in the year 2020 is discerned with a highest publication count of 43 documents till date. However documents published in 2018 got maximum number of citations (n_917). The prominent keywords in recent literature on fuzzy logic includes fuzzy VIKOR, industry 4.0, DEMATEL, and Internet of things. However, major research activities using fuzzy logic is concentrated in the subject area of computer science (n_58.21%). Maximum number of documents is published by China (n_20.58%) with a highest count of total citation of 902. North China Electric Power University has successfully published maximum of 11 documents with 195 citations. Fuzzy logic is comprehensively used in modern control system for imitating the human behavior in decision making in a faster pace. The reviewed data extracted from the analysis will be useful for the academic researchers to find out the fundamental patterns and dynamics in the research direction and further promote fuzzy analysis in the areas that are yet to be incorporated.