A Bibliometric Statistical Analysis of the Fuzzy Inference System - based Classifiers
نویسندگان
چکیده
Nowadays, under the pressure of numerous research publications, researchers increasingly pay attention to writing survey papers track and understand one topic they are interested in, then begin conduct more in-depth research. Until this moment, there two types papers: traditional review analysis bibliometric statistical analysis. Compared with analysis, due various information that can be quickly summarized assess predict field's development, is progressively proposed. However, no relied on approach explore fuzzy inference system (FIS) -based classifiers. More importantly, since current open-ended approaches have different assessment focuses, choosing a suitable problematic. Therefore, based extraction, integration, expansion previous theories, proposes new systematic time-saving approach. It worth noting proposed eliminates need read internal content all publications. Two core parts (Publication Information TOP 20 SETs) generated by Among them, analyzing Author Keywords SETs unprecedented guiding features assist in exploring topic. Significantly, relies FIS-based Various assessments cover entire related In addition, these results may considered increase citation rate future
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3082908