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Decision method for states validation in drinking water plant monitoring

  • Université Fédérale Toulouse Midi-Pyrénées
  • Universidad de Antioquia
  • INSA/DGEI

Research output: Chapter in Book/Conference proceedingConference proceedingpeer-review

3 Citations (Scopus)

Abstract

This paper proposes a transitions validation method between system functional states in drinking water plant monitoring. The method is based in fuzzy entropy measure. The water plant is monitored by means of fuzzy classification method. The classification algorithm provides the membership degrees of the instant system data (individual) to all possible identified functional states (classes) of the water plant. Usually, the higher membership degree determines the recognized class. However, this criterion leads to uncertainty levels when decision is based on a bad conditioned fuzzy set due to similar membership degrees. The proposed method validates the recognized functional state in presence of uncertainty.

Original languageEnglish
Title of host publication10th IFAC Symposium on Computer Applications in Biotechnology 2007
EditorsMichel Perrier, Jaime A. Moreno
PublisherIFAC Secretariat
Pages363-368
Number of pages6
Edition4
ISBN (Print)9783902661616
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event10th IFAC Symposium on Computer Applications in Biotechnology, 2007 - Cancun, Mexico
Duration: 4 Jun 20076 Jun 2007

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number4
Volume40
ISSN (Print)1474-6670

Conference

Conference10th IFAC Symposium on Computer Applications in Biotechnology, 2007
Country/TerritoryMexico
CityCancun
Period4/06/076/06/07

Keywords

  • Decision index
  • Fuzzy entropy measures
  • Transition validation
  • Water plant monitoring

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