An Application of Fuzzy Set Theory in a Diagnostic Process Extended in Time

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Elisabeth Rakus-Andersson
Title: An Application of Fuzzy Set Theory in a Diagnostic Process Extended in Time
Conference name: The 14th European Meeting on Cybernetics and System Research
Year: 1998
Pagination: 160-162
ISBN: 3 85206 139 3
Publisher: Austrian Society for Cybernetic Studies (Ed. Robert Trappl)
City: Vienna
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
http://www.bth.se/ihn/
Authors e-mail: Elisabeth.Andersson@bth.se
Language: English
Abstract: The paper refers to earlier results obtained by authors and constitutes their essential complement by introducing to a diagnostic model the assumption that a decision concerning the diagnosis is based on observations of symptoms in some stages at an individual patient. To fix the optimal diagnosis we introduce the normalized Euclidean distance between fuzzy sets representing the ideal decision and a possible real decision stated by studying clinical symptoms.
Subject: Mathematics\General
Public Health\General
Keywords: Fuzzy relation equations, the normalized Euclidean distance, observations in time, an optimal diagnostic model
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