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Fuzzy Controllers in Evaluation of Survival Length in Cancer Patients
Responsible organisation
2011 (English)In: Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II: Applications / [ed] Atanassov, K.; Homenda, W.; Hryniewicz, O.; Kacprzyk, J.; Krawczak, M.; Nahorski, Z.; Szmidt, E.; Zadrozny, S., Warsaw, Poland: System Research Institute, Polish Academy of Sciences , 2011, 203-222 p.Chapter in book (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Warsaw, Poland: System Research Institute, Polish Academy of Sciences , 2011. 203-222 p.
Keyword [en]
Mamdani controller, Sugeno controller, Control estimation of survival length
National Category
Mathematics Medical and Health Sciences
Identifiers
URN: urn:nbn:se:bth-7439Local ID: oai:bth.se:forskinfo2ACD5ABE547060D6C12579410063EF30ISBN: 13 9788389475367 (print)OAI: oai:DiVA.org:bth-7439DiVA: diva2:835055
Available from: 2012-09-18 Created: 2011-11-07 Last updated: 2016-09-20Bibliographically approved

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