Title :
Fuzzily recent data: a Monte Carlo experiment
Author :
Whalen, Thomas ; Zhang, G.P.
Author_Institution :
Dept. of Managerial Sci., Georgia State Univ., Atlanta, GA, USA
Abstract :
A simulation experiment demonstrates the effectiveness of using a fuzzy set of "recent data" to train a forecasting model when the underlying process is time-varying.
Keywords :
Monte Carlo methods; forecasting theory; fuzzy set theory; regression analysis; time series; Monte Carlo experiment; forecasting model; fuzzily recent data; fuzzy set; time-varying process; Context modeling; Decision making; Decision support systems; Econometrics; Economic forecasting; Fuzzy sets; Management training; Monte Carlo methods; Predictive models; Statistics;
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
DOI :
10.1109/NAFIPS.2004.1337431
