A comparison of fuzzy time series with statistical analyses in forecasting Malaysian goverment tax revenue

In recent years, many reseachers have used fuzzy time series to handle forecasting various domain problem and it has been shown to forecast better than other models such as the predictons of stock prices, academic enrollments, weather, road accidenasualties, etc.

Main Author: Loh Cheng Woon
Published: Terengganu: Universiti Malaysia Terengganu, 2009.

KOLEKSI KHAS

Call Number: LP 14 FST 2 2009
Accession Item Category Format Status Notes
1100076407 LAPORAN PROJEK Book AVAILABLE