Stock market forecasting demands models that balance high accuracy with interpretability. particularly when handling highly volatile and uncertain data. This study introduces a novel interpretable forecasting framework that integrates the Fuzzy Time Series (FTS) model with the Linear Fuzzy Information Granule (LFIG) method. The proposed model addresses two major limitations: the inabi... https://parisnaturalfoodes.shop/product-category/vegetable-juice/
An Interpretable Combined Forecasting Method for Stock Market Based on Fuzzy Time Series Model and Linear-Trend Fuzzy Information Granulation
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