A Aplicação de Métodos MCDA na Seleção de Projetos de Pesquisa

Heloise  Acco Tives Leão; Pedro Henrique  Teixeira Costa; Felipe  Evangelista dos Santos; Edna  Dias Canedo; Ana Carla  Bittencourt Reis

Research Project Selection and Classification using MCDA Methods

Heloise Acco Tives Leão UnB
Pedro Henrique Teixeira Costa UnB
Felipe Evangelista dos Santos UnB
Edna Dias Canedo UnB
Ana Carla Bittencourt Reis UnB

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.

Keywords: AHP, Candidate Selection, Classification, MCDA, Project Selection, Promethee II

ACM DL (Português (Brasil))

Published

2018-11-30

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ACCO TIVES LEÃO, Heloise ; TEIXEIRA COSTA, Pedro Henrique ; EVANGELISTA DOS SANTOS, Felipe ; DIAS CANEDO, Edna ; BITTENCOURT REIS, Ana Carla . Research Project Selection and Classification using MCDA Methods . In: BRAZILIAN SYMPOSIUM ON INFORMATION SYSTEMS (SBSI), 14. , 2018, Caxias do Sul. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . p. 207-214.