Interrupted time series (ITS) analysis has emerged as a cornerstone quasi‐experimental design in public health research, offering a robust methodological approach to evaluate the effects of ...
Fuzzy time series forecasting models represent a versatile and robust class of predictive techniques that address uncertainty and non-linearity in data. By utilising fuzzy set theory, these models ...
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