Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50574

TitleIncluding credibility and expertise in group decision-making process: an approach designed for UbiGDSS
Author(s)Carneiro, João
Martinho, Diogo
Marreiros, Goreti
Novais, Paulo
KeywordsGroup decision support systems
Credibility
Expertise
Decision satisfaction
Multi-agent systems
Issue date2017
PublisherSpringer
JournalAdvances in Intelligent Systems and Computing
CitationCarneiro J., Martinho D., Marreiros G., Novais P., Including Credibility and Expertise in Group Decision-Making Process: An Approach Designed for UbiGDSS, WorldCIST 2017: Recent Advances in Information Systems and Technologies, Vol. 1, Springer: Advances in Intelligent Systems and Computing, Vol, 570, pp 416-425, ISBN: 978-3-319-56534-7, 2017. http://dx.doi.org/10.1007/978-3-319-56538-5_42
Abstract(s)Supporting group decision-making when the decision-makers are spread around the world is a complex process. The mechanisms of automated negotiation, such as argumentation, can be used in Ubiquitous Group Decision Support Systems to help decision-makers find a solution based on their preferences. However, there are some other important issues that affect the decisionmaking process beyond typical preferences over criteria and alternatives. In this paper, we propose an algorithm that will allow agents to reason about self-expertise and other decision makers’ credibility. This way, we intend agents to achieve better quality and more consensual decisions. Our algorithm includes not only the decision-maker’s preferences but also his intentions in the process. By using the proposed model, agents achieved a stronger consensus in all scenarios that were considered and higher satisfaction levels in the most complex scenarios.
TypeConference paper
URIhttp://hdl.handle.net/1822/50574
ISBN978-3-319-56534-7
DOI10.1007/978-3-319-56538-5_42
ISSN2194-5357
Publisher versionhttps://link.springer.com/chapter/10.1007%2F978-3-319-56538-5_42
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings


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