Polynomial Fuzzy Information Granule-Based Time Series Prediction

Fuzzy information granulation transfers the time series analysis from numerical platform to granular platform, which enables us study at a different granularity. In previous studies, each fuzzy granule in can reflect average, range, and linear trend characteristics of data corresponding window. order get more general granule, this paper proposes polynomial granules, both nonlinear The distance metric proposed granules is given theoretically. After studying measure its geometric interpretation, we design prediction method based on inference system. experimental results show that achieve good long-term prediction.