Decision Making Algorithms in Toxoplasmosis

Document type: Conference Presentations
Peer reviewed: Yes
Author(s): Elisabeth Rakus-Andersson
Title: Decision Making Algorithms in Toxoplasmosis
Conference name: The 50th Clinical Day
Year: 2011
City: Lodz, Pland
Other identifiers: Plenary speech at the conference
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. Mathematics and Science (Sektionen för teknik – avd. för matematik och naturvetenskap)
School of Engineering S- 371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:
Language: English
Abstract: 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 collec-tion 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 speech we apply fuzzy decision making algorithms to ranking medicines in multifocal
Subject: Mathematics\General
Medical Sciences
Keywords: Fuzzy decision-making, fuzzy utility matrix, powers of symptom importance, utilities of medicines in toxoplasmosis, Bellman-Zadeh decision making, unequal objectives, minimization of regret, OWA operators