Tài liệu tham khảo
Abbasov, A. and Mamedova, M., 2003. Application of fuzzy time series to population forecasting. Vienna University of Technology. 1: 545–552.
Abreu, P. H., Silva, D. C., Mendes-Moreira, J., Reis, L. P., and Garganta, J., 2013. Using multivariate adaptive regression splines in the construction of simulated soccer team’s behavior models. International Journal of Computational Intelligence Systems. 6(5): 893–910.
Aladag, S., Aladag, C. H., Mentes, T., and Egrioglu, E., 2012. A new seasonal fuzzy time series method based on the multiplicative neuron model andSARIMA. HacettepeJournal of Mathematics and Statistics. 41(3): 145–163.
Box, G. E. P. and Jenkins, G. M., 1970. Time series analysis: Forecasting and control. Holden-Day. San Fancisco, 546 pages.
Chen, S. M., 1996. Forecasting enrollments based on fuzzy time series. Fuzzy sets and systems. 81(3): 311–319.
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(3): 234–244.
Chen, J. and Hung, W., 2015. An automatic clustering algorithm for probability density functions. J. Stat. Comput. Simul. 85(1): 3047–3063.
Eren, B., Vedide, R., Uslu, U., and Erol, E., 2014. A modiedgenetic algorithm for forecasting fuzzy time series. Applied Intelligence, 41: 453–463.
Huarng, K., 2001. Heuristic models of fuzzy time series for forecasting. Fuzzy Sets and Systems. 123(3): 369–386.
Huarng, K. and Yu, T., 2006. Ratio-based lengths of intervals toimprovefuzzy time series forecasting. IEEE Trans Syst ManCybern-Part B: Cybern. 36: 328–340.
Oliveira, D. J and Ludermir, T. B., 2014. A distributedPSO-ARIMA-SVR hybrid system for time series forecasting. In 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 3867–3872.
Singh, S. R., 2007. A simple method of forecasting based on fuzzy time series. Applied Mathematics and Computation. 186(1): 330–339.
Song, Q. and Chissom, B. S., 1993. Fuzzy time series and its models. Fuzzy Sets and Systems. 54(3): 269–277.
Tai, V.V. and Thao, N.T., 2018. Similar coefficient of cluster for discrete elements. The Indian Journal of Statistics, 80(1): 19 – 36.
Tai V.V., 2018. An improved fuzzy time series forecasting model using variations of data. Fuzzy Optimization and Decision Making DOI: 10.1007/s10700-018-9290-7
Zhiqiang, Z. and Qiong, Z., 2012. Fuzzy time series forecasting based on k-means clustering. Open Journal of Applied Sciences. 25:100–103.