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A bibliometric analysis of aggregation operators.

Authors :
Blanco-Mesa, Fabio
León-Castro, Ernesto
Merigó, José M.
Source :
Applied Soft Computing; Aug2019, Vol. 81, p105488-105488, 1p
Publication Year :
2019

Abstract

Aggregation operators consist of mathematical functions that enable the combining and processing of different types of information. The aim of this work is to present the main contributions in this field by a bibliometric review approach. The paper employs an extensive range of bibliometric indicators using the Web of Science (WoS) Core Collection and Scopus datasets. The work considers leading journals, articles, authors, institutions countries and patterns. This paper highlights that Xu is the most productive author and Yager is the most influential author in the field. Likewise, China is leading the field with many new researchers who have entered the field in recent years. This discipline has been strengthening to create a unique theory and will continue to expand with many new theoretical developments and applications. • Overview of the aggregation operators. • Bibliometric analysis. • VOS viewer visualization. • Web of Science. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15684946
Volume :
81
Database :
Supplemental Index
Journal :
Applied Soft Computing
Publication Type :
Academic Journal
Accession number :
137595011
Full Text :
https://doi.org/10.1016/j.asoc.2019.105488