Fuzzy Computing in Data Science

4A Bibliometric Approach and Systematic Exploration of Global Research Activity on Fuzzy Logic in Scopus Database

Sugyanta Priyadarshini* and Nisrutha Dulla

KIIT Deemed to be University, Odisha, India

Abstract

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). ...