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<item>
  <id>06091170</id>
  <dt>j</dt>
  <an>06091170</an>
  <augroup>
    <au>Liu, Hai</au>
    <au>Tang, Yong</au>
    <au>Chen, Qimai</au>
  </augroup>
  <ti>A description logic based fuzzy soft set parameters conversion algorithm.</ti>
  <so>J. Shenzhen Univ., Sci. Eng. 28, No. 6, 495-499 (2011).</so>
  <py>2011</py>
  <pu>Shenzhen University, Shenzhen</pu>
  <lagroup>
    <la>ZH</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>decision making</ut>
    <ut>fuzzy system</ut>
    <ut>first order predicate logic</ut>
    <ut>fuzzy soft set</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
  </ligroup>
  <abgroup>
    <ab>Summary: The semantics of parameters of fuzzy soft set is enhanced by a knowledge base which is about related problem domain and fuzzy soft set's parameters. This knowledge base can be constructed by applying fuzzy attribute language and complement (FALC). The reasoning ability of FALC is used in our algorithm to transform the original fuzzy soft set into a fuzzy soft set with user decision parameters. The case study demonstrates that the decision making performance of fuzzy soft set is improved.</ab>
    <rv></rv>
  </abgroup>
</item>