4-step inference method for natural language propositions involving fuzzy quantifiers and truth-qualifiers

Fuzzy Quantifiers: A Natural Language Technique for Data Fusion

Fuzzy quantifiers like ‘almost all’ and ‘about half’ abound in natural language. They are used for describing uncertain facts, quantitative relations and processes. An implementation of these quantifiers can provide expressive and easy-to-use operators for aggregation and data fusion, but also for steering the fusion process on a higher level through a safe transfer of expert-knowledge expresse...

Fuzzy quantifiers in natural language:: semantics and computational models

Deafault logic, natural language and generalized quantifiers

Default logic [Reiter 80] is now commonly used in artificial intelligence systems and turns out to be one of the major research fields in knowledge representation. One of the first motivations of default logic wan to give a more accurate semantic represem tation to natural language statements of the form: Birds fl~: Mos t birds fly. or~ arguably: Typicall2o; birds lty~ The idea was to define a ...

Fuzzy reasoning models and fuzzy truth value based inference

Supplement to “symmetric Propositions and Logical Quantifiers”

This document contains propositions, proofs, and supplementary discussion supporting claims made in the paper “Symmetric propositions and logical quantifiers,” Journal of philosophical logic, forthcoming (henceforth SPLQ). Unless explicitly mentioned otherwise, all references are internal. Section, but not subsection, headings correspond to those of SPLQ. (The latter has no subsections.)