BLA: a new framework for group decision making

In this paper we investigate the problem of admissibility of a candidate under incomplete distributed knowledge. We formalize this admissibility in terms of the goals that will be achieved by selecting this candidate. The knowledge about what feature can lead to achieve what goal, and the importance of each goal are stored in a structure called BLA (Bipolar Leveled set of Arguments). Once the BLA has been established the decision makers are only allowed to utter information about the features that characterize the candidates. The goals that would be achieved by selecting a given candidate will be derived directly from the BLA and the features uttered. This promotes a more transparent decision process since the criteria may not be discussed during the evaluation of actual candidates. Keyword: Decision process, Incomplete Knowledge, Arguments.