Regression analysis with fuzzy knowledge representation

  • Authors:

  • Inna N. Louneva;Sergei M. Obraztsov;Alexander L. Shimkevich

  • Affiliations:

  • State Science Center "Institute of Physics and Power Engineering", 249020 Obninsk, Bondarenko Sq., 1, Kaluga Region, Russia;State Science Center "Institute of Physics and Power Engineering", 249020 Obninsk, Bondarenko Sq., 1, Kaluga Region, Russia;State Science Center "Institute of Physics and Power Engineering", 249020 Obninsk, Bondarenko Sq., 1, Kaluga Region, Russia

  • Venue:
  • APL '95 Proceedings of the international conference on Applied programming languages
  • Year:
  • 1995

Quantified Score

Hi-index 0.00

Visualization

Abstract

An algorithm for fuzzy non-linear estimation and an APL implementation of this algorithm are discussed. The algorithm is based on using probability distributions for experimental data. The parameters of the distributions are given as linguistic variables by an expert.