Decision Support System for resource allocation in Brazil public universities

Carolina Lino Martins (1, 2) , Pascale Zaraté (1, 3) , Adiel Teixeira de Almeida (2) , Danielle Costa Morais (2)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 UFPE - Universidade Federal de Pernambuco [Recife]
3 UT Capitole - Université Toulouse Capitole

This study aims to present the design of a Decision Support System (DSS) for internal resource allocation in Brazil public universities, once, currently, there aren’t any kind of general DSS for such a problem. To do so, the analysis is carried out by identifying the general model from the Ministry of Education and the models from every Federal University, finding similarities between each model, and, dividing the models into categories, according to their similarities. The perspectives are to contribute to the decision problem of how to allocate resources properly faced by Brazilians public universities, take safer and reliable decisions, seeking to reduce uncertainties and to maximize their results.

Mots clés: Decision support system; Design; Resource allocation; Budgeting

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Carolina Lino Martins, Pascale Zaraté, Adiel Teixeira de Almeida, Danielle Costa Morais. Decision Support System for resource allocation in Brazil public universities. 3rd International Conference on Decision Support Systems Technologies (ICDSST 2017), May 2017, Namur, Belgium. pp. 119-124. ⟨hal-01873767⟩