Approximate Reasoning in Surgical Decisions

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Elisabeth Rakus-Andersson
Title: Approximate Reasoning in Surgical Decisions
Conference name: International Fuzzy Systems Association World Congress 2009 - IFSA 2009
Year: 2009
Pagination: 225-230
ISBN: 978-989-95079-6-8
Publisher: Instituto Superior Technico de Lisboa, Erasmus Universiteit in Rotterdam
City: Lisbon
ISI number: 000279170600040
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. Mathematics and Science (Sektionen för teknik – avd. för matematik och naturvetenskap)
School of Engineering S- 371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:
Language: English
Abstract: Approximate reasoning is one of the most effective fuzzy systems. The compositional rule of inference founded on the logical law modus ponens is furnished with a true conclusion, provided that the premises of the rule are true as well. Even though there exist different approaches to an implication, being the crucial part of the rule, we modify the early implication proposed by Zadeh in our practical model concerning a medical application. The approximate reasoning system presented in this work considers evaluation of a risk in the situation when physicians weigh necessity of the operation on a patient. The patient’s clinical symptom levels, pathologically heightened, indicate the presence of a disease possible to recover by surgery. We wish to evaluate the extension of the operation danger by involving particularly designed fuzzy sets in the algorithm of approximate reasoning.
Subject: Mathematics\Discrete Mathematics
Public Health\General
Keywords: Approximate reasoning, compositional rule of inference, Zadeh’s implication, operation risk, symptom levels, parametric membership functions