Model Construction and Residues Analysis with Fuzzy Data

The application of data classifications in time series analysis and forecasting is rather important. The fuzzy data classification has received much attention recently. It can be applied on various fields such as finance, sociology, biomedicine, electrical engineering and so on. This study is to use the fuzzy data classification to perform an intensive research on the change periods detection and model construction of the interval time series. We use average of the sum of fuzzy entropies to find out interval of the structural changes. Focusing on the time series of intervals, we build a model and make prediction about it. At the end, based on the case study on the population of singles versus, we thoroughly discuss this topic. The result shows that the unemployment rate does significantly correlate with the population of singles, but the ”widow's year” does not.

並列關鍵字

Fuzzy data classification ； Average of the sum of fuzzy entropies ； Change periods ； Unemployment rate ； Population of singles

被引用紀錄

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國際替代計量

Model Construction and Residues Analysis with Fuzzy Data

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