A bibliometric analysis of aggregation operators

被引：59

作者：

Blanco-Mesa, Fabio ^{[1
]}

Leon-Castro, Ernesto ^{[2
]}

Merigo, Jose M. ^{[3
]}

机构：

[1] Univ Pedag & Tecnol Colombia, Fac Ciencias Econ & Adm, Escuela Adm Empresas, Ave Cent Norte 39-115, Tunja 150001, Colombia

[2] Univ Catolica Santisima Concepcion, Fac Ciencias Econ & Adm, Alonso de Ribera 2850, Concepcion, Chile

[3] Univ Chile, Dept Management Control & Informat Syst, Sch Business & Econ, Ave Diagonal Paraguay 257, Santiago 8330015, Chile

来源：

APPLIED SOFT COMPUTING | 2019年 / 81卷

关键词：

Aggregation operators; Aggregation functions; Bibliometrics; Web of Science (WoS); VOS viewer; GROUP DECISION-MAKING; WEIGHTED AVERAGING OPERATORS; GENERALIZING GROUP-BY; PREFERENCE RELATIONS; INFORMATION SCIENCES; REPRESENTATION MODEL; OWA OPERATOR; CROSS-TAB; DATA CUBE; FUSION;

D O I：

10.1016/j.asoc.2019.105488

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2019 Elsevier B.V. All rights reserved.

引用

页数：21

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