Using artificial intelligence and visual techniques into preference disaggregation analysis: The MIIDAS system

Multicriteria Disaggregation–Aggregation (D–A) approaches include two major issues. The first one is to assess the decision maker's preference model from his global preferences on a reference set of alternative actions. The second issue concerns the interactive character of the approach in order to aid the DM to understand his/her own way of preferring. This paper aims to present the Multicriteria Interactive Intelligence Decision Aiding System (MIIDAS), an implementation of the extended UTA II method. Also, the contribution of the Artificial Intelligence and Visual techniques, embedded into the procedures of the MIIDAS system, is presented. Finally, a case study coming from a portfolio management selection problem is used to illustrate the system.