IP-MAGS: an incomplete preference-based multiple attribute group support system

In this research, we develop a group decision support system to deal with multiple attribute group decision-making problems, which involve getting incomplete judgements of individual preference and aggregating the judgements by means of the additive preference model. Dominance-based decision-making rules are built in and applied to obtain a group's preferred alternative. The proposed system, above all, allows for more various forms of incomplete judgements than prior systems that were designed to handle group decision problems. A user-friendly graphical interface enables users to easily encode their incomplete judgements. Further, the system helps individuals revise their preference judgements by referring them to their own decision results in comparison with the group's aggregated decision result. The system is a web-based application system, which enables bidirectional communications between individuals and the system. Any individual who is involved in a group decision-making problem is able to participate in the decision-making process from a remote site. Furthermore, we present a real-life case study on the selection of a branch office server that has been carried out using the proposed system.