Since the pioneering work of Song and Chissom (1993a,b) on fuzzy
time series to model and forecast processes whose values are described
by linguistic values, a number of techniques have been proposed by
researchers for forecasting. In most of the realistic situation the duplicates of data are significant. This paper presents a new fuzzy time
series method, which employs multiset theory. The historical data of
daily average temperature in Taipei, Taiwan (central weather bureau
1996) are adopted to illustrate the forecasting process of the proposed
method.
Multiset Forecasting Fuzzy time series Multiset relation List
Birincil Dil | İngilizce |
---|---|
Konular | İstatistik |
Bölüm | İstatistik |
Yazarlar | |
Yayımlanma Tarihi | 1 Ağustos 2015 |
Yayımlandığı Sayı | Yıl 2015 Cilt: 44 Sayı: 4 |