C. H. Cheng, T. L. Chen and C. H. Chiang, “Trend-Weighted Fuzzy Time Series Model for TAIEX Forecasting,” Proceedings of the 13th International Conference on Neural Information Processing, Part-III, Lecture Notes in Computer Science, Hong Kong, Vol. 4234, 3-6 October 2006, pp. 469-477. - References

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C. H. Cheng, T. L. Chen and C. H. Chiang, “Trend-Weighted Fuzzy Time Series Model for TAIEX Forecasting,” Proceedings of the 13th International Conference on Neural Information Processing, Part-III, Lecture Notes in Computer Science, Hong Kong, Vol. 4234, 3-6 October 2006, pp. 469-477.

has been cited by the following article:

TITLE: A New Bandwidth Interval Based Forecasting Method for Enrollments Using Fuzzy Time Series

AUTHORS: Hemant Kumar Pathak, Prachi Singh

KEYWORDS: Fuzzy Sets, Fuzzy Time Series, Fuzzy Logical Relations

JOURNAL NAME: Applied Mathematics, Vol.2 No.4, March 31, 2011

ABSTRACT: In this paper, we introduce the concept of (4/3)? bandwidth interval based forecasting. The historical enrollments of the university of Alabama are used to illustrate the proposed method. In this paper we use the new simplified technique to find the fuzzy logical relations.