A New Linguistic Modelling of the Symmetrical Threshold Semantics
نویسنده
چکیده
In this contribution a new matching function for a symmetrical threshold semantics is presented. It can be interpreted as a tuning of that proposed in [10] which was defined using an ordinal fuzzy linguistic approach. This new matching function is defined using a 2-tuple fuzzy linguistic approach and, consequently, avoids the loss of precision and information in final results. On the other hand, it softens the behaviour of that proposed in [10] by processing in a more consistent way the query threshold weights. In such a way, this new linguistic matching function improves the results of linguistic information retrieval systems and therefore, can help to improve the users’ satisfaction.
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تاریخ انتشار 2004