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

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

Year
2009
Citations
4

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.

Keywords

Computer scienceRoboticsFuzzy logicArtificial intelligencePerspective (graphical)Context (archaeology)Machine learningData miningRobot

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