|Article title||APPLICATION OF FUZZY MODEL TO FORECASTING UNIVERSETY OF APPLICANTS|
|Authors||T.V. Afanasjeva, M.S. Toneryan|
|Section||SECTION IV. MATHEMATICAL METHODS OF AN ARTIFICIAL INTELLECT|
|Month, Year||06, 2012 @en|
|Index UDC||001 .891.573|
|Abstract||The paper is devoted to models of fuzzy processes for forecasting of number of entrants. This problem is actual and is important, as the university financing depends on its adequate decision. There have been a good many methods to forecast university enrollments in the literature. However, the enrollment’s time series, as a usually, are short and nonstationary, that complicates creation of statistical models and models on the basis of artificial neural networks. Also, traditional models can"t be applied, when historical data are linguistic values. Fuzzy time series is an effective tool to deal with such problems. In this paper, as an application of fuzzy time series in educational research, the forecast of the enrollments of the University of Alabama is carried out.|
|Keywords||Fuzzy time series; forecasting; fuzzy processes with fuzzy differences.|
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