Including social factors in an argumentative model for Group Decision Support Systems

Recio-Garcí­a, Juan A.; Quijano-Sánchez, Lara; Dí­az-Agudo, Belén

doi:10.1016/j.dss.2013.05.007

Cited by 46 publications

(24 citation statements)

References 12 publications

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“…Nowadays, there are many proposals that intend to model human-beings' aspects in agents, such as: personality (Dimuro et al, 2007;Padgham & Taylor, 1997), emotions (Ball & Breese, 2000;Gmytrasiewicz & Lisetti, 2002), cognitive styles (Frank et al, 2001), etc. There are also some few proposals under the topic of GDSS (Ivan Palomares et al, 2014;Iván Palomares et al, 2013;Recio-García et al, 2013;Santos et al, 2009b). All of them share the idea that the inclusion of cognitive/affective aspects may somehow help the decision-making process.…”

Section: Related Workmentioning

confidence: 99%

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Representing decision-makers using styles of behavior: An approach designed for group decision support systems

Carneiro

Saraiva

Martinho

et al. 2018

Cognitive Systems Research

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Supporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based Group Decision Support Systems have been studied. However, the limitations in the decision-makers' interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers' intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers' intentions and fundamentally benefit from different possible behavioral styles, just as a face-toface meeting benefits from the heterogeneity of its participants.

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Section: Related Workmentioning

confidence: 99%

“…Recio- García et al (2013) presented a group decision support system where each decisionmaker is represented by an agent who argues with the other agents in order to achieve the best alternative for the group. The presented negotiation model includes the users' social factors, personality and trust in the argumentative process.…”

Section: Related Workmentioning

confidence: 99%

Representing decision-makers using styles of behavior: An approach designed for group decision support systems

Carneiro

Saraiva

Martinho

et al. 2018

Cognitive Systems Research

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“…Model SN applied by [46] to relate the interests of all stakeholders such as the relationship is based on institutional, knowledge, friendship, status and more. The next model is needed to integrate decision support and SN [49], i.e.…”

Section: Related Workmentioning

confidence: 99%

“…Another weighting process is a model of social networks (SN) [46], SN for decision support [47] where the weighting is based on the interests of the actors that have linkage relationships from each DM to DM [48].…”

Section: Related Workmentioning

confidence: 99%

A Method of Weight Update in Group DecisionMaking to Accommodate the Interests of All the Decision Makers

Hamdani¹,

Wardoyo²,

Mustofa³

2017

IJISA

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Abstract-The weight updates are required for group decision-making which has similar parameters used by the decision maker (DM). Each DM as the stakeholder may have similar or different parameters in selecting parameters. Therefore, we have to accommodate the interests of all decision makers (DMs) to obtain alternative decisions. DM who has selected the parameters inputs the initial weight ( based on the classical methods, and then recalculates to obtain the updated weights ( until the final weight ( is obtained for the alternative of group decision-making (GDM). The initial weight uses a weighting directly or multi criteria decision-making (MCDM). This method aims to provide the fairness for all DMs who have different knowledge in determining the value of the weights and the selection parameters. In order to obtain alternative decisions, we used technique for order preference by similarity to ideal solution (TOPSIS) method to update weight. In this paper, the alternative output of the decisions is applied in two stages: the decisions of each DM and the group, where this output consists of four types of alternatives. Based on the proposed method, the result of GDM shows that the third alternative is recommended in decision-making. This method is effectively performed in decision-making which has different parameters and weights of each DM to support group decision.

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“…However, trust has been considered an important factor influencing the consensus process in group decision making [12,17,23,32,33]. Therefore, trust can be used to encourage group experts to reach consensus, and then we should investigate a trust induced recommendation mechanism.…”

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confidence: 99%

A trust induced recommendation mechanism for reaching consensus in group decision making

Liu

Liang

Chiclana

et al. 2017

Knowledge-Based Systems

158

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Including social factors in an argumentative model for Group Decision Support Systems

Cited by 46 publications

References 12 publications

Representing decision-makers using styles of behavior: An approach designed for group decision support systems

Representing decision-makers using styles of behavior: An approach designed for group decision support systems

A Method of Weight Update in Group DecisionMaking to Accommodate the Interests of All the Decision Makers

A trust induced recommendation mechanism for reaching consensus in group decision making

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