Analyzing the performance of classical consensus models in large scale group decision making: A comparative study

• Published in: Applied soft computing Vol. 67; pp. 677 - 690
• Main Authors: Labella, Á., Liu, Y., Rodríguez, R.M., Martínez, L.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2018
• Subjects: AFRYCA; Behavior; CRP; Large-scale GDM; CRP; Large-scale GDM; Behavior; AFRYCA
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2017.05.045

[Display omitted] •Comparative study of different classical consensus reaching processes applied to large-scale group decision making (LGDM).•Analyze the performance of the models studied by using AFRYCA, that is a framework used to simulate different experts behavior patterns during the consensus reaching processes.•New challenges that consensus reaching processes should face to deal with LGDM. 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.