An Argumentation‐based Rough Set Theory for Knowledge Management
Sarra Bouzayane, Imène Brigui‐Chtioui, Inès Saad · 2014
The necessity to manage knowledge mobilized in organizations has increased rapidly in the last few years. Research in knowledge engineering and knowledge management has been focusing on the problems of the acquisition, the preservation and the transfer of knowledge. This chapter discusses an argumentative approach for the decision makers (DMs) of the Agent-KC platform. The aim is to propose an argumentative approach based on dominance rough set theory to identify crucial knowledge. Such an approach minimizes the role of the agent mediator and allows the DMs to argue their choices. Agents' strategies that has been developed are to be tested in different contexts (heterogeneous agents, altruistic agents), that would permit us to characterize each strategy of construction and evaluation of arguments with respect to agents' profiles. Thus, the short-term outlook is to develop a Java module that would fit into the platform Agent-KC.