Application of neuro-fuzzy system for predicting the success of a company in public procurement


  • Dragan Pamučar Military academy, University of defence in Belgrade, Belgrade, Serbia
  • Darko Bozanic Military academy, University of defence in Belgrade, Belgrade, Serbia
  • Adis Puška Faculty of Agriculture, Bijeljena University, Bijeljina, Bosnia and Herzegovina
  • Dragan Marinković Department of Structural Analysis, Technical University of Berlin, Germany



Fuzzy Sets, Neuro-fuzzy system, Artificial Bee Colony


The paper presents a neuro-fuzzy system for evaluating and predicting the success of a construction company in public tenders. This model enables companies to operate sustainably by assessing their own position in the market. The model was based on data from a seven-year study, where data from the first six years were used to adjust the model, while data from the last year of the study were used for testing and validation. The neuro-fuzzy model was tuned using the Artificial Bee Colony algorithm.


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How to Cite

Pamučar, D., Bozanic, D., Puška, A., & Marinković, D. (2022). Application of neuro-fuzzy system for predicting the success of a company in public procurement . Decision Making: Applications in Management and Engineering, 5(1), 135–153.