
FOLLOWUS
1GECAD-Knowledge Engineering and Decision Support Group, Institute of Engineering, Polytechnic of Porto, Porto 4200-072, Portugal
2ALGORITMI Centre, University of Minho, Guimares 4800-058, Portugal
E-mail: jomrc@isep.ipp.pt
收稿:2015-10-18,
录用:2016-2-20,
纸质出版:2016-04
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应用于普适群体决策的智能谈判模型[J]. 信息与电子工程前沿(英文), 2016,17(4):296-308.
Joo CARNEIRO, Diogo MARTINHO, Goreti MARREIROS, et al. Intelligent negotiation model for ubiquitous group decision scenarios#[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(4): 296-308.
应用于普适群体决策的智能谈判模型[J]. 信息与电子工程前沿(英文), 2016,17(4):296-308. DOI: 10.1631/FITEE.1500344.
Joo CARNEIRO, Diogo MARTINHO, Goreti MARREIROS, et al. Intelligent negotiation model for ubiquitous group decision scenarios#[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(4): 296-308. DOI: 10.1631/FITEE.1500344.
目的
2
开发一种应用于普适情形的群体(对话)决策模型。
创新点
2
遵循社交网络逻辑,提出了一种贴近真实情景的智能群体决策的理论模型,更好地支持普通背景的群体决策过程。
方法
2
首先分析了现有的群体决策支持系统(GDSS)模型,并指出现有模型的缺陷:极少能够商业应用且难以反映决策过程的自然规律;而有较大发展空间的基于辩论的谈判模型的研究成果甚少。然后提出了一种更贴近真实情景的普适群体决策模型。该模型基于社交网络中的交流逻辑,重新定义了多标准问题的属性以及智能体推理与对话等,综合考虑了群体目标和群体中个人目标。所提出的群体谈判模型允许研究人员进一步基于自己的算法、论点以及智能体模型进行扩展。运用案例分析论证了模型的可行性。
结论
2
本文提出的理论模型能够支持普适的群体决策过程,保证面对面交流的质量。
Supporting group decision-making in ubiquitous contexts is a complex task that must deal with a large amount of factors to succeed. Here we propose an approach for an intelligent negotiation model to support the group decision-making process specifically designed for ubiquitous contexts. Our approach can be used by researchers that intend to include arguments
complex algorithms
and agents’ modeling in a negotiation model. It uses a social networking logic due to the type of communication employed by the agents and it intends to support the ubiquitous group decision-making process in a similar way to the real process
which simultaneously preserves the amount and quality of intelligence generated in face-to-face meetings. We propose a new look into this problem by considering and defining strategies to deal with important points such as the type of attributes in the multicriterion problems
agents' reasoning
and intelligent dialogues.
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