Theoretical fuzzy decision-making models mostly developed by Zadeh, Bellman, Jain, Herrera and Yager can be adopted as useful tools to estimation of the total effectiveness-utility of a treatment when appreciating its distinct influences on a collection of symptoms characteristic of a considered diagnosis. We prove, as a novelty of the classical fuzzy decision making model, the insertion of fuzzy numbers in the α-cut form to a utility matrix. In the current paper we wish to apply the modified fuzzy decision making to extract the most efficacious treatment in radiation cystitis.