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K. Huarng, “Effective Lengths of Intervals to Improve Forecasting in Fuzzy Time Series,” Fuzzy Sets and Systems, Vol. 123, No. 3, 2001, pp. 387-394. doi:10.1016/S0165-0114(00)00057-9
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.
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