Selección multicriterio de contratistas de obras.Enfoque basado en redes neuronales.
- Bendaña Jácome, Ricardo Javier
- Caño, Alfredo del
- de la Cruz, M. Pilar
- Castro Rascado, Alberto
ISSN: 0012-7361, 0012-7361
Year of publication: 2010
Volume: 85
Issue: 1
Pages: 73-84
Type: Article
More publications in: Revista DYNA
Abstract
This paper presents two cases of applying neural networks to extract knowledge for, subsequently, using it to support multicriteria contractor selection, in traditional design-bid-build projects with one-step selection processes. Different qualitative and quantitative selection criteria are taken into account, up to 22 and 9, respectively. The first case includes a high number of input variables, making up a complex system related to complex and medium or large-sized projects. The second case is related to small projects in a medium-sized municipality. One advantage of these systems is that they can serve to �homogenize� specific decision making in medium and large organizations. The paper also analyzes other pros of this approach, as well as the main problems.