Group Decision Methodology for Collaborative Multicriteria Assignment

In this paper we present a group decision methodology for multicriteria classification decisions focusing on small collaborative teams, where group members express their preferences on problem parameters in numeric and linguistic format. Individual preferences are aggregated by appropriate operators and a group parameter set is produced which is used as input for the classification algorithm. NeXClass multicriteria classification algorithm is applied for the classification, initially at a training set of alternatives and later at the entire set. Finally, group members evaluate results and consensus as well as satisfaction metrics are calculated. In case of low acceptance level, problem parameters are redefined by group members and aggregation phase is repeated. Finally, we present an illustrative example of the methodology, demonstrating its application to real world problems. The methodology has been applied to classification problems in business environment, with results depicting its validity for such problems.