DocumentCode
3472185
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
Volume
2
fYear
2004
fDate
27-30 June 2004
Firstpage
941
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN
0-7803-8376-1
Type
conf
DOI
10.1109/NAFIPS.2004.1337431
Filename
1337431
Link To Document