Decision Support System for resource allocation in Brazil public universities
| Autor: | Martins, Carolina Lino, Zaraté, Pascale, Teixeira De Almeida, Adiel, Costa Morais, Danielle |
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| Přispěvatelé: | Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Universidade Federal de Pernambuco [Recife] (UFPE) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Design
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO] Resource allocation Budgeting Decision support system [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] |
| Zdroj: | Proceedings of the 2017 International Conference on Decision Support System Technology 3rd International Conference on Decision Support Systems Technologies (ICDSST 2017) 3rd International Conference on Decision Support Systems Technologies (ICDSST 2017), May 2017, Namur, Belgium. pp. 119-124 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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