CC BY 4.0Murinová, PetraFiala, Karel2026-02-062026-02-062026MURINOVÁ, Petra and FIALA, Karel, 2026. Linguistic Interpretation of Natural Data using New Forms of Intermediate Quantifiers. Online. In: STUPŇANOVÁ, Andrea; DYBA, Martin and PAVLISKA, Viktor (eds.). Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and Applications. Ostrava: University of Ostrava, p. 78-81. ISBN 978-80-7599-515-5. Available at: https://doi.org/10.15452/978-80-7599-515-5.2026.15.10.15452/978-80-7599-515-5.2026.15https://eduo.osu.cz/handle/1/238This 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.enfuzzy systemsmathematicsinformaticsfuzzy natural logicintermediate quantifierslinguistic associationgraded cube of oppositioninfo:eu-repo/semantics/conferencePaper519.1/.8 - Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelovánífuzzy systémymatematikainformatika