Voting-model based evaluation of fuzzy quantified sentences: A general framework

DOI10.1016/j.fss.2004.03.012zbMath1073.68084OpenAlexW2034298472MaRDI QIDQ1876506

P. Cariñena, Alberto Bugarín, F. Díaz-Hermida, Senén Barro

Publication date: 20 August 2004

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2004.03.012

zbMATH Keywords

Evidence theoryRandom setsFuzzy quantifiersTheory of generalized quantifiersBasic mass assignmentVoting model

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (9)

A discussion on fuzzy cardinality and quantification. Some applications in image processing ⋮ Type \(\langle 1, 1 \rangle\) fuzzy quantifiers determined by fuzzy measures on residuated lattices. III: Extension, conservativity and extensionality ⋮ On the relation between fuzzy and generalized quantifiers ⋮ On fuzzification mechanisms for unary quantification ⋮ Characterizing quantifier fuzzification mechanisms: a behavioral guide for applications ⋮ Level-based fuzzy generalized quantification ⋮ Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics ⋮ Fuzzy Quantification Using Restriction Levels ⋮ Fuzzy quantification: a state of the art

Cites Work

• A computational approach to fuzzy quantifiers in natural languages
• Fuzzy cardinality and the modeling of imprecise quantification
• An overview of fuzzy quantifiers. I. Interpretations
• Definition and classification of semi-fuzzy quantifiers for the evaluation of fuzzy quantified sentences.
• Fuzzy cardinality based evaluation of quantified sentences
• Cardinality, quantifiers, and the aggregation of fuzzy criteria
• Connectives and quantifiers in fuzzy sets
• Quantified propositions in a linguistic logic
• A semantic characterization of natural language determiners
• Generalized quantifiers and natural language
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