Business intelligence evaluation model in enterprise systems using fuzzy PROMETHEE

Authors

  • Mansoureh Maadi School of Engineering, Damghan University Author
  • Mohammad Javidnia School of Industrial Engineering, Iran University of Science and Technology Author
  • Malihe Khatami School of Engineering, Damghan University Author

DOI:

https://doi.org/10.37380/jisib.v6i3.195

Keywords:

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

Abstract

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.

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Published

2016-12-30

How to Cite

Maadi, M., Javidnia, M., & Khatami, M. (2016). Business intelligence evaluation model in enterprise systems using fuzzy PROMETHEE. Journal of Intelligence Studies in Business, 6(3), 39-50. https://doi.org/10.37380/jisib.v6i3.195