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Iterated Correlation Under Uncertainty: A Three-Layer Predictive Model with Fuzzy Upper Bounds | Synapse
March 3, 2026
Open Access
Iterated Correlation Under Uncertainty: A Three-Layer Predictive Model with Fuzzy Upper Bounds
IH
Israa Ali Hassan
Key Points
The predictive model effectively handles uncertainty, providing fuzzy upper bounds for correlations observed.
Accurate forecasting enhances decision-making processes across various domains when applied appropriately.
Observational analysis assesses the impact of iterated correlation in a three-layer model under uncertainty.
Highlights the importance of addressing uncertainty in predictive models for better real-world applications.
Abstract
This work was supported by the University of Ostrava.
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Israa Ali Hassan (Thu,) studied this question.
synapsesocial.com/papers/69a765f3badf0bb9e87db069
https://doi.org/https://doi.org/10.15452/978-80-7599-515-5.2026.01
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