Research Project Selection and Classification using MCDA Methods

Abstract

This paper presents a case study of the construction and execution of a model for the ranking of projects submitted to the Scientific Initiation Program (PIBIC) of the University of Brasilia (UnB). In the execution of this work the Multiple Criteria Decision Analysis (MCDA) AHP and Promethee II methods were applied. The results obtained in each method were analyzed and compared. Hence, a model proposal for PIBIC projects selection is presented. The proposed model can be used in several project selection processes, maintaining a coherence and standard in the evaluations.