Variances with Bonferroni means and ordered weighted averages Blanco-Mesa F. es_PE León-Castro E. es_PE Merigó J.M. es_PE Herrera-Viedma E. es_PE 2024-05-30T23:13:38Z 2024-05-30T23:13:38Z 2019
dc.description.abstract The variance is a statistical measure frequently used for analysis of dispersion in the data. This paper presents new types of variances that use Bonferroni means and ordered weighted averages in the aggregation process of the variance. The main advantage of this approach is that we can underestimate or overestimate the variance according to the attitudinal character of the decision-maker. The work considers several particular cases including the minimum and the maximum variance and presents some numerical examples. The article also develops some extensions and generalizations by using induced aggregation operators and generalized and quasi-arithmetic means. These approaches provide a more general framework that can consider a lot of other particular cases and a complex attitudinal character that could be affected by a wide range of variables. The study ends with an application of the new approach in a business decision-making problem regarding strategic analysis in enterprise risk management. © 2019 Wiley Periodicals, Inc.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.scopus 2-s2.0-85071646907
dc.language.iso eng
dc.publisher John Wiley and Sons Ltd
dc.relation.ispartof International Journal of Intelligent Systems
dc.rights info:eu-repo/semantics/openAccess
dc.subject variance
dc.subject asymmetric information es_PE
dc.subject Bonferroni means es_PE
dc.subject OWA operator es_PE
dc.subject strategy decision-making es_PE
dc.title Variances with Bonferroni means and ordered weighted averages
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication