Abstract
In the present paper, an improved version of the PROMETHEE multicriteria methodology is presented incorporating uncertainty in the decision-making process, achieved through the implementation of fuzzy theory. The innovative features of the proposed methodological extension are the incorporation of a reliable fuzzy ranking method, which removes the necessity of defuzzification and the adoption of post-ranking uncertainty analysis, applying a satisfaction function on the fuzzy ranking. The implementation of the new methodology in two numerical examples demonstrated that the combination of the simplicity, transparency and efficiency of PROMETHEE with the capacity of modelling uncertainty through fuzzy numbers and a reliable fuzzy ranking algorithm, yields a powerful decision support scheme, capable of integrating different kinds and types of information in order to provide a well justified outcome and quantify its robustness.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
