A new trend heuristic time-variant fuzzy time series method for forecasting enrollments

Authors:
Melike Şah;Konstantin Degtiarev
Affiliations:
Computer Engineering Department, Eastern Mediterranean University, Mersin 10, Turkey;Computer Engineering Department, Eastern Mediterranean University, Mersin 10, Turkey
Venue:
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Year:
2005

Citing 6
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Abstract

In this paper, we have proposed a new modified forecasting method based on time-variant fuzzy time series. It uses trend heuristics in addition to high-order fuzzy logical relations and enhances the average forecasting accuracy significantly. To illustrate the whole forecasting process, we use actual enrollments (historical data for 22 years) of the University of Alabama (UA) and compare results obtained through other well-known fuzzy time series-based approaches described up to date in the literature. As a result, for all examined cases, the new time-variant method yields better forecasting accuracy as compared with alternative methods.