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A Comparison of Fuzzy Decision Making Models Supporting the Optimal Therapy
Responsible organisation
2000 (English)In: Fuzzy Systems in Medicine / [ed] Szczepaniak, Piotr S.; Lisboa, Paulo J. G.; Kacprzyk, Janusz, Heidelberg-New York: Physica-verlag – A Springer-verlag Company , 2000, 561-572 p.Chapter in book (Other academic)
Abstract [en]

Fuzzy set theory offers numerous methods that prove helpful in solving medical problems. They have already been successfully used for instance to fix the optimal level of drug action in patients revealing no clinical symptoms after treatment. In many morbid processes, however, although indices of measurable symptoms improve after the course of medication, the symptoms themselves do not retreat entirely. The authors have already proposed different fuzzy techniques involved in the solution of the problem described above. This time the suggestion of comparing three fuzzy decision making models aim at facilitation of the optimal drug choice in the case of symptoms that prevail after treatment.

Place, publisher, year, edition, pages
Heidelberg-New York: Physica-verlag – A Springer-verlag Company , 2000. 561-572 p.
Keyword [en]
Fuzzy sets, fuzzy decision making, fuzzy utility function, utility matrix, fuzzy utility choice of medicine, symptoms prevailing after the treatment
National Category
Mathematics Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:bth-9720Local ID: oai:bth.se:forskinfo9F4D1667020DF7C2C1256E2D007960C8ISBN: 3-7908-1263-3 (print)OAI: oai:DiVA.org:bth-9720DiVA: diva2:837645
Available from: 2012-09-18 Created: 2004-02-01 Last updated: 2016-09-20Bibliographically approved

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Rakus-Andersson, Elisabeth
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