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Estimation of Parameters of the Empirically Reconstructed Fuzzy Model of Measurements

  • Tatiana Kopit
  • Alexey Chulichkov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6743)

Abstract

In this paper we introduce a method for the empirical reconstruction of a fuzzy model of measurements on the basis of testing measurements using a possibility-theoretical approach. The method of measurement reduction is developed for solving a problem of an estimation of parameters of a fuzzy system. It is shown that such problems are reduced to minimax problems. If the model is unknown it can be restored from testing experiments and can be applied for handling the problems of the type of forecasting the behavior of a system.

Keywords

mathematical modeling fuzzy sets decision making analysis and interpretation of data measurement and computing systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tatiana Kopit
    • 1
  • Alexey Chulichkov
    • 1
  1. 1.Department of Computer Methods of Physics, Faculty of PhysicsMoscow State UniversityMoscowRussia

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