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The Fuzzified Quasi-Perceptron in Decision Making Concerning Treatments in Necrotizing Fasciitis

  • Elisabeth Rakus-AnderssonEmail author
  • Janusz Frey
  • Danuta Rutkowska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9120)

Abstract

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.

Keywords

Fuzzified quasi perceptron Parametric membership functions Necrotizing fasciitis Treatment with hyperbaric oxygen 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Elisabeth Rakus-Andersson
    • 1
    Email author
  • Janusz Frey
    • 2
  • Danuta Rutkowska
    • 3
  1. 1.Department of Mathematics and ScienceBlekinge Institute of TechnologyKarlskronaSweden
  2. 2.Department of Surgery and UrologyBlekinge County HospitalKarlskronaSweden
  3. 3.Institute of Computer and Information SciencesCzęstochowa University of TechnologyCzęstochowaPoland

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