Abstract
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.
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Rakus-Andersson, E., Frey, J. (2012). Fuzzy Numbers as Utilities of Decision Making in Treatment of Radiation Cystitis. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_15
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DOI: https://doi.org/10.1007/978-3-642-31709-5_15
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