March 3, 2026Open Access

Linguistic Interpretation of Natural Data using New Forms of Intermediate Quantifiers

Key Points

Imprecise expressions like 'very small' and 'medium' effectively describe quantitative data, enhancing clarity.
Findings show that using intermediate quantifiers allows precise characterizations of uncertainty in the data analysis.
Employing fuzzy natural logic creates a unique method for representing complex data in understandable terms.
This innovative linguistic approach may redefine how data interpretation occurs in various scientific fields.

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.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Authors

Petra Murinová

Karel Fiala

Actions

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Linguistic Interpretation of Natural Data using New Forms of Intermediate Quantifiers

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Actions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study