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<item>
  <id>05887585</id>
  <dt>j</dt>
  <an>05887585</an>
  <augroup>
    <au>Sasu, Adela</au>
  </augroup>
  <ti>An application of fuzzy time series to the Romanian population.</ti>
  <so>Bull. Transilv. Univ. Bra\c sov, Ser. III, Math. Inform. Phys. 3(52), 125-132 (2010).</so>
  <py>2010</py>
  <pu>Transilvania University Press, Bra\c sov</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>time series</ut>
    <ut>fuzzy sets</ut>
    <ut>forecasting</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
  </ligroup>
  <abgroup>
    <ab>Summary: We use a strategy to forecast the population count of Romania using a method inspired by fuzzy set theory. Various forecasting methods have been developed on the basis of fuzzy time series data, but accuracy has been a matter of concern in these methods. In fuzzy time series methods, the forecasted values depend to some degree on our interpretation of the model's output, and, hence, different interpretations may lead to different results.</ab>
    <rv></rv>
  </abgroup>
</item>