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TasteIT - Analyzing Chemical Sensor Data Using Fuzzy Logic

  • In this work, the development of a fuzzy logic method for the analysis of chemical sensor data based on potentiometric measurements performed with three different miniaturised chalcogenide glass sensors in different heavy metal solutions will be presented. The approach is based on the concept of linguistic variables, combining data from a sensor array to gain quantitative as well as qualitative information on heavy metal ions in unknown single- and multi-component heavy metal solutions. Current and general limitations of this approach will be shown and discussed based on a comparison between calculated and expected values.

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Metadaten
Document Type:Conference Object
Language:English
Author:W. Heiden, M. Turek, M. J. Schoning
Parent Title (English):IEEE Workshop On Merging Fields Of Computational Intelligence And Sensor Technology (CompSens), 11-15 April 2011, Paris
Pagenumber:6
ISBN:978-1-4244-9912-0
DOI:https://doi.org/10.1109/MFCIST.2011.5949520
Publisher:IEEE
Date of first publication:2011/07/12
Tag:chemical sensors; fuzzy logic; linguistic variables
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Institut für funktionale Gen-Analytik (IfGA)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/04/02