Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics
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
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Publication: Article
1624014926320
June 18, 2021
/research/publications/fuzzy-quantification-in-two-real-scenarios-information-retrieval-and-mobile-robotics
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 - F. Díaz-Hermida, A. Bugarín, P. Cariñena, M. Mucientes, D. E. Losada - 10.1002/int.20349
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