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<item>
  <id>05023588</id>
  <dt>j</dt>
  <an>05023588</an>
  <augroup>
    <au>Abbasbandy, S.</au>
    <au>Amirfakhrian, M.</au>
  </augroup>
  <ti>Numerical approximation of fuzzy functions by fuzzy polynomials.</ti>
  <so>Appl. Math. Comput. 174, No. 2, 1001-1006 (2006).</so>
  <py>2006</py>
  <pu>Elsevier Science Publishing Co. (North-Holland), New York</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>fuzzy polynomials</ut>
    <ut>fuzzy numbers</ut>
    <ut>best approximation</ut>
    <ut>fuzzy function</ut>
    <ut>linear programming</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.amc.2005.05.028</li>
  </ligroup>
  <abgroup>
    <ab>The authors introduce the notion of best approximation of a fuzzy function by a fuzzy polynomial of degree at most $n$ on a set of $m\ge n+1$ points of $\Bbb R$ and propose a method for computing this best approximation (which exists) by linear programming.</ab>
    <rv>Delfina Roux (Milano)</rv>
  </abgroup>
</item>