Fuzzy Approaches to Extend Boolean Information Retrieval
Gloria Bordogna, Paola Da Massa Carrara, Gabriella Pasi · 1995
Many commercial information retrieval systems use the Boolean information retrieval model. Some extensions have been designed to provide for the limitations this model presents without proceeding to its complete redesign. Fuzzy set theory has been employed as a suitable tool for this purpose, especially for dealing with imprecision and vagueness in the information retrieval activity. The first extensions of the Boolean query language within this formal framework introduced numeric query weights. Recently, the authors have proposed linguistic extensions which manage user vagueness in formulating queries directly. They have also defined a document representation which more effectively expresses documents’ information content.