A Hybrid Model of Fuzzy Time Series for Forecasting

Abstract:

This study proposes a hybrid model for forecasting. The hybrid model is built on heuristic and weighted models of fuzzy time series. Compared to heuristic model, the hybrid model considers not only heuristic factors but also weighted factors. Hybrid model counts in more factors for dealing with forecasting problems to get a higher forecasting accuracy rate. The enrollment of University of Alabama is chosen as the forecasting targets. The empirical analyses show that the hybrid models provide better overall forecasting results than the previous models.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 2694-2698
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.2694
• Online since: January 2012
• Authors: Ju E Wang, Jian Zhong Qiao
• Keywords: Forecasting, Fuzzy Time Series, Heuristic Model, Weighted Models

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