Global Research Trends of Intuitionistic Fuzzy Set: A Bibliometric Analysis

Despite the fast growth of intuitionistic fuzzy publications, only a small part of these groundbreaking researches have significantly impacted the field. The main purpose of this paper was to identify and investigate the 100 most cited publications in the intuitionistic fuzzy field. Topic search bas...

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Main Authors: He Xiaorong, Wu Yingyu
Format: Article
Language:English
Published: De Gruyter 2019-09-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2017-0240
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author He Xiaorong
Wu Yingyu
author_facet He Xiaorong
Wu Yingyu
author_sort He Xiaorong
collection DOAJ
description Despite the fast growth of intuitionistic fuzzy publications, only a small part of these groundbreaking researches have significantly impacted the field. The main purpose of this paper was to identify and investigate the 100 most cited publications in the intuitionistic fuzzy field. Topic search based on the keyword “intuitionistic fuzzy” in the Science Citation Index and Social Sciences Citation Index databases was conducted to identify the 100 most cited articles. Bibliometric analysis methods were employed to describe these articles from different angles, such as the citation amount and rate, distribution among journals, institutions and countries/regions, author frequency, and citation distribution over time. This paper provides an insight on the characteristics of the highly cited intuitionistic fuzzy publications. The achievements of this study may provide useful information for researchers in the fields related to intuitionistic fuzzy.
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spelling doaj.art-e3c3b8dec24842ec92116dd589f311722022-12-21T22:32:49ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2019-09-0128462163110.1515/jisys-2017-0240Global Research Trends of Intuitionistic Fuzzy Set: A Bibliometric AnalysisHe Xiaorong0Wu Yingyu1School of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, People’s Republic of ChinaSchool of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, People’s Republic of ChinaDespite the fast growth of intuitionistic fuzzy publications, only a small part of these groundbreaking researches have significantly impacted the field. The main purpose of this paper was to identify and investigate the 100 most cited publications in the intuitionistic fuzzy field. Topic search based on the keyword “intuitionistic fuzzy” in the Science Citation Index and Social Sciences Citation Index databases was conducted to identify the 100 most cited articles. Bibliometric analysis methods were employed to describe these articles from different angles, such as the citation amount and rate, distribution among journals, institutions and countries/regions, author frequency, and citation distribution over time. This paper provides an insight on the characteristics of the highly cited intuitionistic fuzzy publications. The achievements of this study may provide useful information for researchers in the fields related to intuitionistic fuzzy.https://doi.org/10.1515/jisys-2017-0240intuitionistic fuzzybibliometricsweb of sciencecitation
spellingShingle He Xiaorong
Wu Yingyu
Global Research Trends of Intuitionistic Fuzzy Set: A Bibliometric Analysis
Journal of Intelligent Systems
intuitionistic fuzzy
bibliometrics
web of science
citation
title Global Research Trends of Intuitionistic Fuzzy Set: A Bibliometric Analysis
title_full Global Research Trends of Intuitionistic Fuzzy Set: A Bibliometric Analysis
title_fullStr Global Research Trends of Intuitionistic Fuzzy Set: A Bibliometric Analysis
title_full_unstemmed Global Research Trends of Intuitionistic Fuzzy Set: A Bibliometric Analysis
title_short Global Research Trends of Intuitionistic Fuzzy Set: A Bibliometric Analysis
title_sort global research trends of intuitionistic fuzzy set a bibliometric analysis
topic intuitionistic fuzzy
bibliometrics
web of science
citation
url https://doi.org/10.1515/jisys-2017-0240
work_keys_str_mv AT hexiaorong globalresearchtrendsofintuitionisticfuzzysetabibliometricanalysis
AT wuyingyu globalresearchtrendsofintuitionisticfuzzysetabibliometricanalysis