Within the field of linguistic fuzzy modeling with fuzzy rule-based systems, the automatic derivation of the linguistic fuzzy rules from numerical data is an important task. In the last few years, a large number of contributions based on techniques such as neural networks and genetic algorithms have
Forecasting the leading index using fuzzy linguistic prediction
โ Scribed by Ding-An Chiang; Yi-Fan Wang; Yi-Hsin Wang; Yu-Liang Chuang
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 112 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
โฆ Synopsis
We propose a fuzzy linguistic prediction method for improving fuzzy random prediction. It uses the bit map summary to determine the trend of objects rising or falling and then uses the fuzzy linguistic summary to compute the parameter of fuzzy random prediction. To show how this method works, we use it to predict the present Taiwan leading index, which gives the economic trend for the next 3 months. By further predicting the leading indices of months that follow, we can forecast the economic trend for the next year.
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