Encyclopedia of Database Systems

Living Edition
| Editors: Ling Liu, M. Tamer Özsu

Fuzzy Models

Living reference work entry
DOI: https://doi.org/10.1007/978-1-4899-7993-3_925-2

Synonyms

Definition

The application of fuzzy set theory to information retrieval (IR) is aimed at the definition of retrieval techniques capable of modeling, at least to some extent, the subjectivity, vagueness, and imprecision that is intrinsic to the process of locating information relevant to users’ needs. In the context of IR, fuzzy set theory has been applied to several purposes among which:
  • The definition of generalizations of the Boolean retrieval model and in particular the definition of flexible query languages to address the vagueness that may affect query formulation

  • The definition of flexible approaches to XML retrieval

  • The definition of flexible and personalized indexing algorithms

  • The definition of fuzzy thesauri and fuzzy clustering algorithms, which are often employed to extend the functionalities of a basic information retrieval system

  • The definition of flexible aggregation strategies of...

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Recommended Reading

  1. 1.
    Bordogna G, Pasi G. Modelling vagueness in information retrieval. In: Agosti M, Crestani F, Pasi G, editors. Lectures in information retrieval. Berlin: Springer; 2001.Google Scholar
  2. 2.
    Bordogna G, Pasi G. Personalized indexing and retrieval of heterogeneous structured documents. Inf Retrieval. 2005;8(2):301–18.CrossRefGoogle Scholar
  3. 3.
    Bordogna G, Pasi G, Yager RR. Soft approaches to distributed information retrieval. Int J Approx Reasoning. 2003;34(2–3):105–20.MathSciNetCrossRefMATHGoogle Scholar
  4. 4.
    da Costa Pereira C, Dragoni M, Pasi G. Multidimensional relevance: prioritized aggregation in a personalized information retrieval setting. Inf Process Manage. 2012;48(2):340–57.CrossRefGoogle Scholar
  5. 5.
    Miyamoto S. Fuzzy sets in information retrieval and cluster analysis. Dordrecht: Kluwer Academic; 1990.CrossRefMATHGoogle Scholar
  6. 6.
    Panzeri E, Pasi G. An approach to define flexible structural constraints in XQuery. AMT. 2012:307–17.Google Scholar
  7. 7.
    Panzeri E, Pasi G. Flex-BaseX: an XML engine with a flexible extension of Xquery full-text. ACM SIGIR. 2013:1083–4.Google Scholar
  8. 8.
    Pasi G. Fuzzy sets in information retrieval: state of the art and research trends. In: Bustince H, Herrera F, Montero J, editors. Fuzzy sets and their extensions: representation, aggregation and models. Intelligent systems from decision making to data mining, web intelligence and computer vision, series: studies in fuzziness and soft computing. Berlin: Springer; 2008. p. 517–35.Google Scholar
  9. 9.
    Radecki T. Fuzzy set theoretical approach to document retrieval. Inf Process Manag. 1979;15(5):247–60.CrossRefMATHGoogle Scholar
  10. 10.
    Zadeh L. Fuzzy sets. Inf Control. 1965;8:338–53.CrossRefMATHGoogle Scholar

Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  1. 1.Department of Informatics, Systems and CommunicationUniversity of Milano-BicoccaMilanItaly

Section editors and affiliations

  • Giambattista Amati
    • 1
  1. 1.Fondazione Ugo BordoniRomeItaly