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Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics
Author(s) -
DíazHermida Félix,
Bugarín Alberto,
Cariñena Purificación,
Mucientes Manuel,
Losada David E.
Publication year - 2009
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20349
Subject(s) - computer science , robotics , fuzzy logic , artificial intelligence , perspective (graphical) , context (archaeology) , machine learning , data mining , robot , paleontology , biology
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.