English, Article edition: MONTE CARLO METHODS IN FUZZY NON-LINEAR REGRESSION AREEG ABDALLA; JAMES BUCKLEY

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Bookmark: http://trove.nla.gov.au/version/133176
Physical Description
  • article
Language
  • English

Edition details

Title
  • MONTE CARLO METHODS IN FUZZY NON-LINEAR REGRESSION
Author
  • AREEG ABDALLA
  • JAMES BUCKLEY
Physical Description
  • article
Notes
  • We apply our new fuzzy Monte Carlo method to certain fuzzy non-linear regression problems to estimate the best solution. The best solution is a vector of triangular fuzzy numbers, for the fuzzy coefficients in the model, which minimizes an error measure. We use a quasi-random number generator to produce random sequences of these fuzzy vectors which uniformly fill the search space. We consider example problems to show that this Monte Carlo method obtains solutions comparable to those obtained by an evolutionary algorithm.
  • Fuzzy non-linear regression, Monte Carlo, random fuzzy vectors
  • RePEc:wsi:nmncxx:v:04:y:2008:i:02:p:123-141
Language
  • English
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