An enhanced deterministic fuzzy time series forecasting model

Cybernetics and Systems

Volumn 40, Issue 3, 2009, Pages 211-235

  Li, Sheng Tun ^a   Cheng, Yi Chung ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Forecasting models; Fuzzy logic; Fuzzy time series; Highorder models; State transition

Indexed keywords

COST REDUCTION; FORECASTING; FUZZY SETS; QUALITY ASSURANCE; REDUNDANCY; TIME SERIES;

COMPUTATIONAL COSTS; FORECASTING ACCURACIES; FORECASTING MODELS; FORECASTING PROBLEMS; FUZZY TIME SERIES; HIGHORDER MODELS; MULTI FACTORS; PERFORMANCE EVALUATIONS; STATE TRANSITION;

FUZZY LOGIC;

EID: 61549109804     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/01969720802715128     Document Type: Article

References (24)

1. Chen, S.-M. 1996. Forecasting enrollments based on fuzzy time series. Fuzzy Sets and Systems 81: 311-319.
2. Chen, S.-M. 2002. Forecasting enrollments based on high-order fuzzy time series. Cybernetics and Systems: An International Journal 33: 1-16.
3. Chen, S.-M. and Chung, N.-Y. 2006. Forecasting enrollments using high-order fuzzy time series and genetic algorithms. International Journal of Intelligent Systems 21: 485-501.
4. Chen, S.-M. and Hsu, C.-C. 2004. A new method to forecast enrollments using fuzzy time series. International Journal of Applied Science and Engineering 2: 234-244.
5. Chen, S.-M. and Hwang, J.-R. 2000. Temperature prediction using fuzzy time series. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 30: 263-275.
6. Hsu, Y.-Y., Tse, S.-M., and Wu, B. 2003. A new approach of bivariate fuzzy time series analysis to the forecasting of a stock index. International Journal of Uncertainty, Fuzzyiness and Knowledge-Based Systems 11: 671-690.
7. Huarng, K. 2001. Effective lengths of intervals to improve forecasting in fuzzy time series. Fuzzy Sets and Systems 123: 387-394.
8. Huarng, K. and Yu, H.-K. 2004. A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting. Intelligent Data Analysis 8: 3-27.
9. Huarng, K. and Yu, T. H.-K. 2006a. The application of neural networks to forecast fuzzy time series. Physica A 363: 481-491.
10. Huarng, K. and Yu, T. H.-K. 2006b. Ratio-based lengths of intervals to improve fuzzy time series forecasting. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 36: 328-340.
11. Hwang, J.-R., Chen, S.-M., and Lee, C.-H. 1998. Handling forecasting problems using fuzzy time series. Fuzzy Sets and Systems 100: 217-228.
12. Lee, L.-W., Wang, L.-H., and Chen, S.-M. 2007. Temperature prediction and TA1FEX forecasting based on fuzzy logical relationships and genetic algorithms. Expert Systems with Applications 33: 539-550.
13. Lee, L.-W., Wang, L.-H., Chen, S.-M., and Leu, Y.-H. 2006. Handling forecasting problems based on two-factors high-order fuzzy time series. IEEE Transactions on Fuzzy Systems 14: 468-477.
14. Li, S.-T. and Chen, Y.-P. 2004. Natural partition-based forecasting model for fuzzy time series. IEEE International Conference on Fuzzy Systems, Budapest, Hungary.
15. Li, S.-T. and Cheng, Y.-C. 2007. Deterministic Fuzzy time series model for forecasting enrollments. Computers and Mathematics with Applications 53: 1904-1920.
16. Liu, H.-T. 2007. An improved fuzzy time series forecasting method using trapezoidal fuzzy numbers. Fuzzy Optim Decision Making 6: 63-80.
17. Own, C.-M. and Yu, P.-T. 2005. Forecasting fuzzy time series on a heuristic high-order model. Cybernetics and Systems: An International Journal 36: 705-717.
18. Song, Q. and Chissom, B. S. 1993a. Forecasting enrollments with fuzzy time series - Part I. Fuzzy Sets and Systems 54: 1-9.
19. Song, Q. and Chissom, B. S. 1993b. Fuzzy time series and its models. Fuzzy Sets and Systems 54: 269-277.
20. Song, Q. and Chissom, B. S. 1994. Forecasting enrollments with fuzzy time series - Part II. Fuzzy Sets and Systems 62: 1-8.
21. Sullivan, J. and Woodall, W. H. 1994. A comparison of fuzzy forecasting and Markov modeling. Fuzzy Sets and Systems 64: 279-293.
22. Tsaur, R.-C., Yang, J.-C., and Wang, H.-F. 2005. Fuzzy relation analysis in fuzzy time series model. Computers and Mathematics with Applications 49: 539-548.
23. Yu, H.-K. 2005a. Weighted fuzzy time series models for TAIEX forecasting. Physica A 349: 609-624.
24. Yu, H.-K. 2005b. A refined fuzzy time-series model for forecasting. Physica A 346: 657-681.