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Analyzing the Performance of Classical Consensus Models in Large Scale Group Decision Making: A comparative Study

TítuloAnalyzing the Performance of Classical Consensus Models in Large Scale Group Decision Making: A comparative Study
Tipo de publicaciónRevista Internacional
Año de publicaciónIn progress
AutoresÁ. Labella, Y. Liu, R. M. Rodríguez and L. Martínez
RevistaApplied Soft Computing
Paginación-
ISSN Number1568-4946
Palabras claveafryca
Resumen

Abstract Consensus Reaching Processes (CRPs) in Group Decision Making (GDM) attempt to reach a mutual agreement among a group of decision makers before making a common decision. Different consensus models have been proposed by different authors in the literature to facilitate CRPs. Classical \{CRP\} models focus on achieving an agreement on \{GDM\} problems in which few decision makers participate. However, nowadays, societal and technological trends that demand the management of larger scale of decision makers add new requirements to the solution of consensus-based \{GDM\} problems. This paper presents a comparative study of different classical \{CRPs\} applied to large-scale \{GDM\} in order to analyze their performance and find out which are the main challenges that these processes face in large-scale GDM. Such analyses will be developed in a java-based framework (AFRYCA 2.0) simulating different scenarios in large scale GDM.

URLhttp://www.sciencedirect.com/science/article/pii/S1568494617303101
DOI10.1016/j.asoc.2017.05.045
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