๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Forecasting enrollments based on fuzzy time series

โœ Scribed by Shyi-Ming Chen

Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
516 KB
Volume
81
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Deterministic fuzzy time series model fo
Deterministic fuzzy time series model for forecasting enrollments
โœ Sheng-Tun Li; Yi-Chung Cheng ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 616 KB

The fuzzy time series has recently received increasing attention because of its capability of dealing with vague and incomplete data. There have been a variety of models developed to either improve forecasting accuracy or reduce computation overhead. However, the issues of controlling uncertainty in

Forecasting enrollments using high-order
Forecasting enrollments using high-order fuzzy time series and genetic algorithms
โœ Shyi-Ming Chen; Nien-Yi Chung ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 185 KB

In recent years, many researchers have presented different forecasting methods to deal with forecasting problems based on fuzzy time series. When we deal with forecasting problems using fuzzy time series, it is important to decide the length of each interval in the universe of discourse due to the f

Fuzzy time-series based on Fibonacci seq
Fuzzy time-series based on Fibonacci sequence for stock price forecasting
โœ Tai-Liang Chen; Ching-Hsue Cheng; Hia Jong Teoh ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 291 KB

Time-series models have been utilized to make reasonably accurate predictions in the areas of stock price movements, academic enrollments, weather, etc. For promoting the forecasting performance of fuzzy time-series models, this paper proposes a new model, which incorporates the concept of the Fibon