Improving the performance of ordinal fuzzy linguistic IRSs∗

نویسنده

  • E. Herrera-Viedma
چکیده

Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of precision and information when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods. In this paper, we present an IRS based on a 2tuple fuzzy linguistic approach which allows us to overcome the problems of ordinal fuzzy linguistic IRSs and improve the performance.

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تاریخ انتشار 2004