Rough set-based argumentative approach to support collaborative multicriteria knowledge classification

In this paper, we propose an argumentative approach aimed at automating the collaborative multicriteria knowledge classification process that is based on the resolution of conflicts between decision makers who have contradictory preferences while exploiting and managing their multiple points of view to identify `crucial knowledge' that needs to be capitalised. This approach relies on the dominancebased rough set approach (DRSA) and is based on a communication protocol made of strategies allowing decision makers to exchange arguments and counter-arguments to achieve a considerable mutual impact on their different preferences and thus to come to an agreement. All exchanged arguments and counter-arguments are subject to a depth evaluation process to enable decision makers to consider the appropriate group decision to make. Our case study revealed that 75% of the detected conflicts could be resolved by applying this approach.