頁籤選單縮合
題 名 | Forecasting Enrollments of Students by Using Fuzzy Time Series and Genetic Algorithms |
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作 者 | Chen, Shyi-ming; Chung, Nien-yi; | 書刊名 | International Journal of Information and Management Sciences |
卷 期 | 17:3 民95.09 |
頁 次 | 頁1-17 |
分類號 | 312 |
關鍵詞 | Fuzzy time series; Genetic algorithms; Fuzzy logical relationship; Fuzzy logical relationship groups; Mean square error; |
語 文 | 英文(English) |
英文摘要 | The definition of fuzzy time series was proposed by song and Chissom. They presented the time-invariant model and the time-variant model for dealing with forecasting problems. In recent years, many methods have been proposed to deal with forecasting problems using fuzzy time series. In this paper, we present a new method to deal with forecasting problems based on fuzzy time series and genetic algorithms. The proposed method adjusts the length of each interval in the universe of discourse for forecasting the enrollments of the University of Alabama. The experimental results show that the proposed method gets good forecasting results. |
本系統中英文摘要資訊取自各篇刊載內容。