Approximate Reasoning in Cancer Surgery

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Elisabeth Rakus-Andersson
Title: Approximate Reasoning in Cancer Surgery
Conference name: International Conference on Fuzzy Computation Theory and Applications, FCTA 2011
Year: 2011
Pagination: 466-469
ISBN: 978-989-8425-83-6
Publisher: SciTePress - Science and Technology Publications
City: Paris
URI/DOI: DOI: 10.5220/0003642204660469
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:
Language: English
Abstract: The compositional rule of inference, grounded on the modus ponens law, is one of the most effective fuzzy systems. We modify the classical version of the Zadeh rule to propose an original model, which concerns determining an operation chance for gastric cancer patients. The operation prognosis will be dependent on values of biological markers indicating the progress of the disease.
Subject: Mathematics\General
Medical Sciences
Keywords: Approximate reasoning, Deterministic operation chance, Parametric membership functions