Open Access Open Access  Restricted Access Subscription or Fee Access

Application of Reverse Fuzzy Model for Time Series Prediction in Student Enrollment

Zhang Kun, Wang Hong-xu, Wang Hai-feng, Li Zhuang

Abstract


This work put forward the reverse fuzzy number prediction model for fuzzy time series prediction. It is the improvement model of the model put forward by Chen, Hong and Tseng. This model has made a great improvement in selection of discourse domain, selection of numerical characteristics representative in small interval and structure of predictor formula. Moreover, this model is applied in the simulated prediction of student
enrollment from 1997 to 2012 for Guangxi University with historical data.

Keywords


Fuzzy set, fuzzy point, time series, reverse fuzzy number, reverse fuzzy number prediction of continuity points

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.