A Comparison of Fuzzy Decision Making Models Supporting the Optimal Therapy
|Title:||A Comparison of Fuzzy Decision Making Models Supporting the Optimal Therapy|
|Book:||Fuzzy Systems in Medicine|
|Editor:||Piotr S. Szczepaniak, Paulo J. G. Lisboa, Janusz Kacprzyk|
|Publisher:||Physica-verlag – A Springer-verlag Company|
|Organization:||Blekinge Institute of Technology|
|Department:||Department of Health, Science and Mathematics (Institutionen för hälso- och naturvetenskap)
Dept. of Health, Science and Mathematics S-371 79 Karlskrona
+46 455 38 50 00
|Abstract:||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.
|Keywords:||Fuzzy sets, fuzzy decision making, fuzzy utility function, utility matrix, fuzzy utility choice of medicine, symptoms prevailing after the treatment|