Title of article
Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques
Author/Authors
Hsu، نويسنده , , Ling-Yuan and Horng، نويسنده , , Shi-Jinn and Kao، نويسنده , , Tzong-Wann and Chen، نويسنده , , Yuan-Hsin and Run، نويسنده , , Ray-Shine and Chen، نويسنده , , Rong-Jian and Lai، نويسنده , , Jui-Lin and Kuo، نويسنده , , I-Hong، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
15
From page
2756
To page
2770
Abstract
In this paper, we proposed a modified turbulent particle swarm optimization (named MTPSO) method for the temperature prediction and the Taiwan Futures Exchange (TAIFEX) forecasting, based on the two-factor fuzzy time series and particle swarm optimization. The MTPSO model can be dealt with two main factors easily and accurately, which are the lengths of intervals and the content of forecast rules. The experimental results of the temperature prediction and the TAIFEX forecasting show that the proposed model is better than any existing models and it can get better quality solutions based on the high-order fuzzy time series, respectively.
Keywords
Two-factors , Forecasting , Fuzzy relationships , Fuzzy time series , Modify turbulent particle swarm optimization
Journal title
Expert Systems with Applications
Serial Year
2010
Journal title
Expert Systems with Applications
Record number
2347601
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