Type-2 fuzzy set representation of stochastic adding A/D conversion

  • Authors:

  • Márta Takács;Károly Nagy;Vladimir Vujačić

  • Affiliations:

  • John von Neumann Faculty of Informatics, Budapest Tech, Budapest, Hungary;Polytechnical Engineering College in Subotica, Subotica, Serbia;Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

  • Venue:
  • MACMESE'07 Proceedings of the 9th WSEAS international conference on Mathematical and computational methods in science and engineering
  • Year:
  • 2007

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Abstract

Stochastic adding A/D conversion (SAADK) represents a method of measurement (or classification) which naturally can replace process of fuzzyfication of input quantities. In classical measurement in the whole measurement range absolute error is, more or less, the same, but in the case of control it is known that all measurement subintervals are not equally significant. Type-2 fuzzy set representation is able to model uncertainties of the stochastic error measurements using SAADK. The primary aim of the paper is to introduce this representation method.