A conflict-solving perspective on collaborative knowledge classification - Application of a non compensatory multicriteria model

I. Brigui-Chtioui, I. Saad
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Abstract

In this paper we propose a non compensatory aggregation model based on two reference points: the aspiration point and the reservation point in order to automate the resolution of conflicts between decision makers for identifying knowledge that need to be capitalized. We follow a multi-agent system based on a mediator agent. This new approach allows to elicit preferences of decision makers which can be different while exploiting their multiple points of view to identify organizational knowledge to be acquired, preserved and transferred.
协同知识分类的冲突解决视角——非补偿多准则模型的应用
本文提出了一种基于期望点和保留点两个参考点的非补偿聚合模型,以自动解决决策者之间的冲突,从而识别需要资本化的知识。我们遵循基于中介代理的多代理系统。这种新方法可以引出决策者的偏好,这些偏好可能是不同的,同时利用他们的多个观点来确定要获得、保存和转移的组织知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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