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I. H. Kuo, S. J. Horng, T. W. Kao, C. L. Lee, T. L. Lin and Y. Pan, “An Improved Method for Forecasting Enrollment Based on Fuzzy Time Series and Particle Swarm Optimization,” Expert Systems with Applications, Vol. 36, No. 3, 2009, pp. 311-319.

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.