Using Ordered Weighted Average for Weighted Averages Inflation

被引：3
|
作者：
Espinoza-Audelo, Luis F. [2 ]
Leon-Castro, Ernesto [1 ]
Olazabal-Lugo, Marycruz [2 ]
Merigo, Jose M. [3 ,4 ]
Gil-Lafuente, Anna M. [5 ]
机构：
[1] Univ la Salle Bajio, Av Univ 602 Lomas del Campestre, Guanajuato 37150, Mexico
[2] Univ Occidente, Blvd Lola Beltran S-N Esq Circuit Vial, Culiacan 80200, Sinaloa, Mexico
[3] Univ Technol Sydney, Fac Engn & Informat Technol, Sch Syst Management & Leadership, Ultimo Nsw, NSW 2007, Australia
[4] Univ Chile, Sch Econ & Business, Dept Management Control & Informat Syst, Av Diagonal Paraguay 257, Santiago 8330015, Chile
[5] Univ Barcelona, Dept Business Adm, Av Diagonal 690, Barcelona 08034, Spain
来源：
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING | 2020年 / 19卷 / 02期
关键词：
OWA operator; inflation; decision making; GROUP DECISION-MAKING; AGGREGATION OPERATORS; DISTANCE MEASURES; BONFERRONI MEANS; BIAS; CONSISTENCY; DISCRETION; MODEL;
D O I：
10.1142/S0219622020500066
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the ordered weighted average weighted average inflation (OWAWAI) and some extensions using induced and heavy aggregation operators and presents the generalized operators and some of their families. The main advantage of these new formulations is that they can use two different sets of weighting vectors and generate new scenarios based on the reordering of the arguments with the weights. With this idea, it is possible to generate new approaches that under- or overestimate the results according to the knowledge and expertise of the decision-maker. The work presents an application of these new approaches in the analysis of the inflation in Chile, Colombia, and Argentina during 2017.
引用
收藏
页码：601 / 628
页数：28
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