Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics

  • Authors:

  • Félix Díaz-Hermida;Alberto Bugarín;Purificación Cariñena;Manuel Mucientes;David E. Losada

  • Affiliations:

  • Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Departamento de Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain

  • Venue:
  • International Journal of Intelligent Systems - Fuzzy Bags, Cardinality, and Quantification
  • Year:
  • 2009

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Abstract

Fuzzy quantification supplies powerful tools for handling linguistic expressions. Nevertheless, its advantages are usually shown at the theoretical level without a proper empirical validation. In this work, we review the application of fuzzy quantification in two application domains. We provide empirical evidence on the adequacy of fuzzy quantification to support different tasks in the context of mobile robotics and information retrieval. This practical perspective aims at exemplifying the actual benefits that real application can get from fuzzy quantifiers. © 2009 Wiley Periodicals, Inc.