ARTÍCULO
TITULO

Business intelligence evaluation model in enterprise systems using fuzzy PROMETHEE

Mansoureh Maadi    
Mohammad Javidnia    
Malihe Khatami    

Resumen

In this paper, a new model to evaluate business intelligence (BI) for enterprisesystems is presented. Evaluation of BI before making decisions about buying and deploymentcan be an important decision support system for managers in organizations. In this paper, asimple and practical method is presented that evaluates BI for enterprise systems. In this way,after reviewing different papers in the literature, 34 criteria for BI specifications aredetermined, and then by applying fuzzy PROMETHEE, different enterprise systems areranked. To continue to assess the proposed model and as a case study, five enterprise systemswere selected and ranked using the proposed model. The advantages of PROMETHEE overother multi-criteria decision making methods and the use of fuzzy theory to deal withuncertainty in decision making is assessed and it is found that the proposed model can be auseful and applied method to help managers make decisions in organizations.