Fuzzy Controllers in Evaluation of Survival Length in Cancer Patients
|Author(s):||Elisabeth Rakus-Andersson, Hang Zettervall, Henrik Forssell|
|Title:||Fuzzy Controllers in Evaluation of Survival Length in Cancer Patients|
|Book:||Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II: Applications|
|Editor:||K. Atanassov, W. Homenda, O. Hryniewicz, J. Kacprzyk, M. Krawczak, Z. Nahorski, E. Szmidt, S. Zadrozny|
|Publisher:||System Research Institute, Polish Academy of Sciences|
|Organization:||Blekinge Institute of Technology|
|Department:||School of Engineering - Dept. of Mathematics & Natural Sciences (Sektionen för ingenjörsvetenskap - Avd.för matematik och naturvetenskap)
School of Engineering S-371 79 Karlskrona
+46 455 38 50 00
|Authors e-mail:||Elisabeth.Andersson@bth.se, Hang.Zettervall@bth.se, Henrik.Forssell@ltblekinge.se|
|Abstract:||Strict analytic formulas are the tools usually derived for determining the formal relationships between a sample of independent variables and a variable which they affect. If we cannot formalize the function tying the independent and dependent variables then we will utilize some control actions. Apart from crisp versions of control we often adopt their fuzzy variants developed by Mamdani and Assilian or Sugeno. Fuzzy control algorithms are furnished with softer mechanisms, when comparing them to classical control.
The algorithms are particularly adaptable to support medical systems, often handling uncertain premises and conclusions. From the medical point of view it would be desirable to prognosticate the survival length for patients suffering from gastric cancer. We thus formulate the objective of the current paper as the utilization of fuzzy control actions for the purpose of making the survival prognoses.
|Keywords:||Mamdani controller, Sugeno controller, Control estimation of survival length|