Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making

Iván Palomares, Francisco J. Quesada, Luis Martínez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Consensus reaching processes (CRPs) in group decision-making (GDM) problems seek a high level of collective agreement before making a decision. The presence of large groups of experts in such problems is increasingly frequent; therefore, it is necessary to propose new consensus models and approaches that reduce the high cost of the discussion process in these cases and to develop consensus support systems based on scalable architectures that facilitate the management of large groups computationally. This contribution presents a consensus support system for large-scale GDM problems, based on a multi-agent architecture that incorporates an agent-based semi-supervised autonomy approach aimed to minimize the cost invested in the CRP.
Original languageEnglish
Title of host publicationFoundations of Intelligent Systems
Subtitle of host publicationProceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013)
EditorsZhenkun Wen, Tianrui Li
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Pages241-251
Number of pages11
ISBN (Electronic)978-3-642-54924-3
ISBN (Print)978-3-642-54923-6
DOIs
Publication statusPublished - 2014

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer Berlin Heidelberg
Volume277
ISSN (Print)2194-5357

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