A FUZZY LINGUISTIC IRS MODEL BASED ON A 2-TUPLE FUZZY LINGUISTIC APPROACH
2007; World Scientific; Volume: 15; Issue: 02 Linguagem: Inglês
10.1142/s0218488507004534
ISSN1793-6411
AutoresEnrique Herrera‐Viedma, A.G. López‐Herrera, María Luque, Carlos Porcel,
Tópico(s)Text and Document Classification Technologies
ResumoInformation Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of information and lack of precision when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods. In this paper, we present a new IRS model based on the 2-tuple fuzzy linguistic approach, which allows us to overcome the problems of ordinal fuzzy linguistic IRSs and improve their performance.
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