Business intelligence evaluation model in enterprise systems using fuzzy PROMETHEE

Mansoureh Maadi, Mohammad Javidnia, Malihe Khatami


In this paper, a new model to evaluate business intelligence (BI) for enterprise
systems is presented. Evaluation of BI before making decisions about buying and deployment
can be an important decision support system for managers in organizations. In this paper, a
simple 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 are
determined, and then by applying fuzzy PROMETHEE, different enterprise systems are
ranked. To continue to assess the proposed model and as a case study, five enterprise systems
were selected and ranked using the proposed model. The advantages of PROMETHEE over
other multi-criteria decision making methods and the use of fuzzy theory to deal with
uncertainty in decision making is assessed and it is found that the proposed model can be a
useful and applied method to help managers make decisions in organizations.


Business intelligence, enterprise systems, Fuzzy PROMETHEE, fuzzy theory, PROMETHEE

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