Linguistic Interpretation of Natural Data using New Forms of Intermediate Quantifiers

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Authors: Petra Murinová, Karel Fiala
Cited by: 0

Abstract

This paper examines the application of fuzzy natural logic in the analysis of scientific data and their representation through special linguistic expressions. We use the theory of evaluative linguistic expressions, which make it possible to describe quantitative data using imprecise espressions such as “very small”, “medium”, “large”, and similar. They occur in the definition of the, so called, intermediate quantifiers using which we characterize given data.

Fields of Study & Subjects

Advanced Algebra and Logic Fuzzy Logic and Control Systems Fuzzy and Soft Set Theory

Publication details

Pages
78–81
Publication date
1 January 2026
Language
EN