RT Journal Article
T1 Characterizing Quantifier Fuzzification Mechanisms: A behavioral guide for applications
A1 Díaz Hermida, Félix
A1 Pereira Fariña, Martín
A1 Vidal Aguiar, Juan Carlos
A1 Ramos Soto, Alejandro
K1 Fuzzy quantification
K1 Determiner fuzzification schemes
K1 Theory of generalized quantifiers
K1 Quantifier Fuzzification Mechanism
K1 Applications of fuzzy quantification
AB Important advances have been made in the fuzzy quantification field. Nevertheless, some problems remain when we face the decision of selecting the most convenient model for a specific application. In the literature, several desirable adequacy properties have been proposed, but theoretical limits impede quantification models from simultaneously fulfilling every adequacy property that has been defined. Besides, the complexity of model definitions and adequacy properties makes very difficult for real users to understand the particularities of the different models that have been presented. In this work we will present several criteria conceived to help in the process of selecting the most adequate Quantifier Fuzzification Mechanisms for specific practical applications. In addition, some of the best known well-behaved models will be compared against this list of criteria. Based on this analysis, some guidance to choose fuzzy quantification models for practical applications will be provided
PB Elsevier
SN 0165-0114
YR 2018
FD 2018-08-15
LK http://hdl.handle.net/10347/18302
UL http://hdl.handle.net/10347/18302
LA eng
NO Diaz-Hermida, F., Pereira-Fariña, M., Vidal, J., Ramos-Soto, A. (2018) Characterizing Quantifier Fuzzification Mechanisms: A behavioral guide for applications. Fuzzy Sets And Systems, 345: 1-23. Doi: 10.1016/j.fss.2017.07.017
NO This work was supported by the Spanish Ministry of Economy and Competitiveness under the project TIN2015-73566-JIN and by the European Regional Development Fund (ERDF/FEDER), the Consellería de Cultura, Educación e Ordenación Universitaria (accreditation 2016–2019, ED431G/08, reference competitive group 2014–2017, GRC2014/030, Postdoctoral Training Grants 2016), and the European Regional Development Fund (ERDF)
DS Minerva
RD 23 abr 2026