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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
A consensus model to detect and manage noncooperative behaviors in large-scale group decision making
IEEE Transactions on Fuzzy Systems, Volume 22, No. 3, Article 6516937, Year 2014
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Description
Consensus reaching processes in group decision making 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 consensus reaching processes. Classical models focus on solving group decision making problems where few decision makers participate. However, nowadays, societal and technological trends that demand the management of larger scales of decision makers, such as e-democracy and social networks, add a new requirement to the solution of consensus-based group decision making problems. Dealing with such large groups implies the need for mechanisms to detect decision makers' noncooperative behaviors in consensus, which might bias the consensus reaching process. This paper presents a consensus model suitable to manage large scales of decision makers, which incorporates a fuzzy clustering-based scheme to detect and manage individual and subgroup noncooperative behaviors. The model is complemented with a visual analysis tool of the overall consensus reaching process based on self-organizing maps, which facilitates the monitoring of the process performance across the time. The consensus model presented is aimed to the solution of consensus processes involving large groups. © 2014 IEEE.
Authors & Co-Authors
Palomares, Iván
Spain, Jaen
Universidad de Jaén
Martínez, Luís
Spain, Jaen
Universidad de Jaén
Herrera, Francisco P.
Spain, Granada
Universidad de Granada
Saudi Arabia, Jeddah
King Abdulaziz University
Statistics
Citations: 406
Authors: 3
Affiliations: 3
Identifiers
Doi:
10.1109/TFUZZ.2013.2262769
ISSN:
10636706