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<item>
  <id>05069600</id>
  <dt>a</dt>
  <an>05069600</an>
  <augroup>
    <au>Wu, Wei-Zhi</au>
  </augroup>
  <ti>Upper and lower probabilities of fuzzy events induced by a fuzzy set-valued mapping.</ti>
  <so>\'Sl\c ezak, Dominik (ed.) et al., Rough sets, fuzzy sets, data mining, and granular computing. 10th international conference, RSFDGrC 2005, Regina, Canada, August 31 -- September 3, 2005. Proceedings, Part I. Berlin: Springer (ISBN 3-540-28653-5/pbk). Lecture Notes in Computer Science 3641. Lecture Notes in Artificial Intelligence, 345-353 (2005).</so>
  <py>2005</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/11548669</li>
  </ligroup>
  <abgroup>
    <ab>Summary: In this paper, we study rough set approximations under fuzzy and random environments. A fuzzy set-valued mapping defines a pair of upper and lower fuzzy rough approximations. Properties of fuzzy approximation operators are examined and the crisp representations of fuzzy approximation operators are presented. A fuzzy random variable from a universe $U$ to a universe $W$ carries a probability measure defined over subsets of $U$ into a system of upper and lower probabilities over subsets of W. The connections between fuzzy approximation spaces and fuzzy belief structures are also established.</ab>
    <rv></rv>
  </abgroup>
</item>