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

Iván Palomares; Francisco J. Quesada; Luis Martínez

doi:10.1007/978-3-642-54924-3_23

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

Iván Palomares, Francisco J. Quesada, Luis Martínez

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Foundations of Intelligent Systems
Subtitle of host publication	Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013)
Editors	Zhenkun Wen, Tianrui Li
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	241-251
Number of pages	11
ISBN (Electronic)	978-3-642-54924-3
ISBN (Print)	978-3-642-54923-6
DOIs	https://doi.org/10.1007/978-3-642-54924-3_23
Publication status	Published - 2014

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer Berlin Heidelberg
Volume	277
ISSN (Print)	2194-5357

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10.1007/978-3-642-54924-3_23

http://link.springer.com/chapter/10.1007%2F978-3-642-54924-3_23

Cite this

Palomares, I., Quesada, F. J., & Martínez, L. (2014). Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making. In Z. Wen, & T. Li (Eds.), Foundations of Intelligent Systems: Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013) (pp. 241-251). (Advances in Intelligent Systems and Computing; Vol. 277). Springer. https://doi.org/10.1007/978-3-642-54924-3_23

Palomares, Iván ; Quesada, Francisco J. ; Martínez, Luis. / Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making. Foundations of Intelligent Systems: Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013). editor / Zhenkun Wen ; Tianrui Li. Berlin, Heidelberg : Springer, 2014. pp. 241-251 (Advances in Intelligent Systems and Computing).

@inproceedings{62b48b57c1954415b235335d756d2653,

title = "Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making",

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.",

author = "Iv{\'a}n Palomares and Quesada, {Francisco J.} and Luis Mart{\'i}nez",

year = "2014",

doi = "10.1007/978-3-642-54924-3_23",

language = "English",

isbn = "978-3-642-54923-6",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "241--251",

editor = "Zhenkun Wen and Tianrui Li",

booktitle = "Foundations of Intelligent Systems",

address = "United Kingdom",

}

Palomares, I, Quesada, FJ & Martínez, L 2014, Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making. in Z Wen & T Li (eds), Foundations of Intelligent Systems: Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013). Advances in Intelligent Systems and Computing, vol. 277, Springer, Berlin, Heidelberg, pp. 241-251. https://doi.org/10.1007/978-3-642-54924-3_23

Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making. / Palomares, Iván; Quesada, Francisco J.; Martínez, Luis.
Foundations of Intelligent Systems: Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013). ed. / Zhenkun Wen; Tianrui Li. Berlin, Heidelberg: Springer, 2014. p. 241-251 (Advances in Intelligent Systems and Computing; Vol. 277).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making

AU - Palomares, Iván

AU - Quesada, Francisco J.

AU - Martínez, Luis

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-642-54924-3_23

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SN - 978-3-642-54923-6

T3 - Advances in Intelligent Systems and Computing

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BT - Foundations of Intelligent Systems

A2 - Wen, Zhenkun

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Palomares I, Quesada FJ, Martínez L. Multi-agent-Based Semi-supervised Consensus Support System for Large-Scale Group Decision Making. In Wen Z, Li T, editors, Foundations of Intelligent Systems: Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013). Berlin, Heidelberg: Springer. 2014. p. 241-251. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-642-54924-3_23

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

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