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The Fuzzified Quasi-perceptron in Decision Making Concerning Treatments in Necrotizing Fasciitis
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
Blekinge County Hospital, Karlskrona, Sweden.
Czestochowa Uniwersity of Technology, Czestochowa, Poland.
2015 (English)In: Artificial Intelligence and Soft Computing LNAI 9120: Proceedings of the 14th International Conference ICAISC 2015 / [ed] L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada, Cham Heidelberg New York Dortrecht London: Springer, 2015, Vol. II, 130-141 p.Conference paper (Refereed)
Abstract [en]

In the current paper we mathematically try to support the decision concerning the treatment with hyperbaric oxygen for patients, suffering from necrotizing fasciitis. To accomplish the task, we involve the fuzzified model of a quasi-perceptron, which is our modification of the classical artificial simple neuron. By means of the fuzzification of input signals and output decision levels, we wish to distinguish between decisions “treatment without recommended hyperbaric oxygen” versus “treatment with hyperbaric oxygen”. The number of decision levels can be arbitrary in order to extend the decision scale.

Place, publisher, year, edition, pages
Cham Heidelberg New York Dortrecht London: Springer, 2015. Vol. II, 130-141 p.
, Lectures Notes in Artificial Intelligence (LNAI), ISSN 1611-3349 ; 9120
Keyword [en]
Fuzzified quasi perceptron; parametric membership functions; necrotizing fasciitis; treatment with hyperbaric oxygen
National Category
Other Mathematics
URN: urn:nbn:se:bth-1272DOI: 10.1007/978-3-319-19369-4ISBN: 978-3-319-19368-7OAI: diva2:829361
ICAISC 2015 - The 14th International Conference on Artificial Intelligence and Soft Computing, Zakopane,Poland
Available from: 2015-06-30 Created: 2015-06-30 Last updated: 2016-09-20Bibliographically approved

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Rakus-Andersson, Elisabeth
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