Full metadata record
DC FieldValueLanguage
dc.contributor.authorChen, SMen_US
dc.date.accessioned2014-12-08T15:02:25Z-
dc.date.available2014-12-08T15:02:25Z-
dc.date.issued1996-08-12en_US
dc.identifier.issn0165-0114en_US
dc.identifier.urihttp://hdl.handle.net/11536/1108-
dc.description.abstractThis paper presents a new method to forecast university enrollments based on fuzzy time series. The data of historical enrollments of the University of Alabama shown in Song and Chissom (1993a, 1994) are adopted to illustrate the forecasting process of the proposed method. The robustness of the proposed method is also tested. The proposed method not only can make good forecasts of the university enrollments, but also can make robust forecasts when the historical data are not accurate. The proposed method is more efficient than the one presented in Song and Chissom (1993a) due to the fact that the proposed method uses simplified arithmetic operations rather than the complicated max-min composition operations presented in Song and Chissom (1993a).en_US
dc.language.isoen_USen_US
dc.subjectfuzzy time seriesen_US
dc.subjectenrollmentsen_US
dc.subjectforecastingen_US
dc.subjectfuzzy seten_US
dc.subjectlinguistic valueen_US
dc.subjectlinguistic variableen_US
dc.titleForecasting enrollments based on fuzzy time seriesen_US
dc.typeArticleen_US
dc.identifier.journalFUZZY SETS AND SYSTEMSen_US
dc.citation.volume81en_US
dc.citation.issue3en_US
dc.citation.spage311en_US
dc.citation.epage319en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
Appears in Collections:Articles


Files in This Item:

  1. A1996VB35900002.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.