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

TitleAnalyzing the Performance of Classical Consensus Models in Large Scale Group Decision Making: A comparative Study
Publication TypeInternational Journal
Year of PublicationIn progress
AuthorsÁ. Labella, Y. Liu, R. M. Rodríguez and L. Martínez
JournalApplied Soft Computing
Pagination-
ISSN Number1568-4946
Keywordsafryca
Abstract

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
Quartile 
Q1
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3.541
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