A Generalized Inference Method for Natural Language Propositions Involving Fuzzy Quantifiers and Truth Qualifiers

Okamoto,; Tano,; Inoue,; Fujioka,

doi:10.1109/fuzzy.2005.1452475

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Generalized Inference Methods1

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Cited by 5 publications

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“…Using the methods in Section 3, we handle a generalized inference referring to simultaneous transformations of a fuzzy predicate, a fuzzy subject, and a truth qualifier [8]. We handle the following transformation:…”

Section: Generalized Inference Methodsmentioning

confidence: 99%

A Generalized Inference Method for Fuzzy Quantified and Truth-Qualified Natural Language Propositions

Okamoto¹,

Tano²,

Fujioka³

2007

J. Adv. Comput. Intell. Intell. Inform.

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We propose a generalized inference method for constructing natural language communication. The method is used to obtain fuzzy quantifierQ’ when “QAareFis τ →Q’(m’A) aremFism’’τ” is inferred (Q, Q’: fuzzy quantifiers,A: fuzzy subject,m, m’, m’’: modifiers,F: fuzzy predicate, τ: truth qualifier). We show thatQ’ is resolved step by step for a non-increasing type (few, ...) and a non-decreasing type (most, ...).

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Section: Generalized Inference Methodsmentioning

confidence: 99%