Exploring the Uncertain Nature of Language in Relation to the Neutrosophic Set Theory
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- Keywords:
- Uncertainity, Impreciseness, Fuzzy Logic, Intuitionistic Logic, Neutrosophic Logic
- Abstract
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Linguistic concepts are inherently imprecise and often lack well-defined boundaries, which limits the applicability of traditional theoretical frameworks. Fuzzy sets and fuzzy logic provide effective tools for modelling vagueness and partial membership; however, they are insufficient for representing all forms of uncertainty. To overcome these limitations, interval-valued fuzzy sets were developed to enhance uncertainty modelling. Furthermore, neutrosophic sets extend these approaches by offering a comprehensive framework capable of handling incomplete, indeterminate, and inconsistent information commonly encountered in real-world linguistic analysis.
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- References
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Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: Theory and applications. Prentice Hall.
Smarandache, F. (2016). Neutrosophic overset, neutrosophic underset, and neutrosophic offset: Similarly for neutrosophic over-/under-/off-logic, probability, and statistics. Pons Editions.
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- 2026-09-10
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Copyright (c) 2026 Dr. Rinku Behara (Author)

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