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What is High Order Fuzzy Time Series Model about?

This document describes a new fuzzy time series forecasting model that aims to improve upon existing high order fuzzy time series models. It proposes using aggregation and particle swarm optimization to reduce mismatches between forecasts and actual values, improve data utilization, and make forecasts less sensitive to interval partitions. The model is evaluated through comparative experiments and is found to provide higher forecasting accuracy than previous literature. It also includes a new fuzzification

Author

dedyoppa

Language

EN