Książka = Book ; KS/4/2012/P15
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
[5], 185-200 pages ; 21 cm ; Bibliography p. 198-200
Theoretical fuzzy decision-making models mostly developed by Zadeh, Bellman, Jain and Yager can be adopted as useful tools to estimation of the total effectiveness-utility of a drug when appreciating its positive influence on a collection of symptoms characteristic of a considered diagnosis. The expected effectiveness of the medicine is evaluated by a physician as a verbal expression for each distinct symptom. By converting the words at first to fuzzy sets and then numbers we can regard the effectiveness structures as entries of a utility matrix that constitutes the common basic component of all methods. We involve the matrix in a number of computations due to different decision algorithms to obtain a sequence of tested medicines in conformity with their abilities to soothe the unfavorable impact of symptoms. An adjustment of the large spectrum of applied fuzzy decision-making models to the extraction of the best medicines provides us with some deviations in obtained results but we are thus capable to select this method whose effects closest converge to the physicians’ judgments and expectations. In the current paper we apply fuzzy decision making algorithms to rank medicines in multifocal toxoplasmosis.
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Systems Research Institute of the Polish Academy of Sciences
Library of Systems Research Institute PAS
Oct 15, 2021
Aug 18, 2021
31
https://rcin.org.pl./publication/242609
Rakus-Andersson, Elisabeth
Forssell, Henrik Rakus-Andersson, Elisabeth