About this document
Improved Fuzzy Time Series Forecasting by YuLia YunanDa is a document available to read on EtoBox.
The document proposes an improved fuzzy time series model for forecasting based on fuzzy clustering to handle forecasting problems and improve accuracy. Each observation is represented by a fuzzy set. The model employs eight main steps in time-invariant and time-variant fuzzy time series models to increase performance. Fuzzy c-means clustering is integrated to partition datasets objectively. The model is tested on forecasting world iron/steel production and university enrollments, showing higher accuracy th
- Author
- YuLia YunanDa
- Language
- EN