Fuzzy exponential smoothing model by grey forecasting values

Journal of the Chinese Institute of Industrial Engineers

Volumn 18, Issue 6, 2001, Pages 95-103

  Tsaur, Ruey Chyn ^a  

^a HSUAN CHUANG UNIVERSITY   (Taiwan)

Author keywords

Exponential smoothing model; Fuzzy exponential smoothing model; Fuzzy regression; Grey forecasting

Indexed keywords

EID: 28244453374     PISSN: 10170669     EISSN: 21517606     Source Type: Journal    
DOI: 10.1080/10170660109509472     Document Type: Article

References (22)

1. Bardossy, A., Bogardi, I., and Duckstein, L., 1990. Fuzzy regression in hydrology. Water Resources Research, 26(7):1497–1508.
2. Chang, P. T., 1997. Fuzzy seasonality forecasting. Fuzzy Sets and Systems, 90:1–10.
3. Collopy, F., and Armstrong, J. S., 1992. Rule-based forecasting:development and validation of an expert systems approach to combining time series extrapolations. Management Science, 38:1394–1414.
4. Filders, R., Hibon, M., Markridakis, S., and Meade, N., 1998. The accuracy of extrapolative forecasting methods:additional empirical evidence. International Journal of Forecasting, 14:229–358.
5. Hanke, J. E., and Reitsch, A. G., 1998. Business Forecasting New Jersey, USA:Prentice-Hall Inc.
6. Ishikawa, A., Amagasa, T., Totsuta, G., and Mieno, H., 1993. The max-min delphi method and fuzzy delphi method via fuzzy integration. Fuzzy Sets and Systems, 55:241–253.
7. Kim, K. J., Moskowitz, H., and Koksalan, M., 1996. Fuzzy versus statistical linear regression. European Journal of Operational Research, 92:417–434.
8. Russel, R. S., and Taylor, B. W., 2000. Operations Management New Jersey, USA:Prentice Hall.
9. Song, Q., and Chissom, B. S., 1993. Fuzzy time series and its models. Fuzzy Sets and Systems, 54:269–277.
10. Song, Q., and Chissom, B. S., 1993. Forecasting enrollments with fuzzy time series part I. Fuzzy Sets and Systems, 54:1–10.
11. Song, Q., and Chissom, B. S., 1993. Forecasting enrollments with fuzzy time seriespart II. Fuzzy Sets and Systems, 62:1–8.
12. Song, Q., and Chissom, B. S., 1995. A new fuzzy time-series model of fuzzy number observation. Fuzzy Sets and Systems, 73:341–348.
13. Tanaka, H., Uejima, S., and Asai, K., 1982. Fuzzy linear model, fuzzy linear regression model. IEEE Transactions System, Man and Cybernet, 12:903–907.
14. Tanaka, H., and Watada, J., 1988. Possibilistic linear systems and their application to the linear regression model. Fuzzy Sets and Systems, 27:275–289.
15. Tsaur, R. C., and Wang, H. F., 1999. Outliers in fuzzy regression analysis. International Journal of Fuzzy Systems, 30(8):113–119.
16. Tsaur, R. C., 2000. “Forecasting product life cycle environment”. In Proceedings of 8th Bellman Continuum 377–381. Hsinchu, Taiwan
17. Tseng, F. M., and Tzeng, G. H., 1999. Forecast seasonal time series by comparing five kinds of hybrid grey models. International Journal of Fuzzy Systems, 5(2):45–55.
18. Wang, H. F., and Tsaur, R. C., 2000. Insight of a fuzzy regression model. Fuzzy Sets and Systems, 112:355–369.
19. Wang, H. F., and Tsaur, R. C., 2000. Bi-criteria variable selection in fuzzy regression equation. Computers and Mathematics with Applications, 40:877–883.
20. Zadeh, L. A., 1975. The concept of a linguistic variable and its application to approximat reasoning I. Information Science, 8:199–249.
21. Zimmermann, H. J., 1987. Fuzzy Sets, Decision Making and Expert Systems Boston, Mass.:Kluwer Academic.
22. Zimmermann, H. J., 1987. Fuzzy programming and linear programming with several objective function. Fuzzy Sets and Systems, 1:45–55.