Title
Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics
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.
Year
DOI
Venue
2009
10.1002/int.v24:6
Int. J. Intell. Syst.
Keywords
Field
DocType
real application,application domain,information retrieval,wiley periodicals,fuzzy quantifiers,mobile robotics,real scenario,proper empirical validation,actual benefit,fuzzy quantification,different task,empirical evidence,mobile robot
Data mining,Empirical evidence,Information retrieval,Expression (mathematics),Computer science,Fuzzy logic,Artificial intelligence,Robotics,Machine learning
Journal
Volume
Issue
ISSN
24
6
0884-8173
Citations 
PageRank 
References 
2
0.38
14
Authors
5
Name
Order
Citations
PageRank
Félix Díaz-hermida11179.78
Alberto Bugarín241448.75
Purificación Cariñena311410.29
Manuel Mucientes437835.05
David E. Losada532640.63