Forecasting Enrollments with Fuzzy Time Series [electronic resource] / Qiang Song and Brad S. Chissom.

The concept of fuzzy time series is introduced and used to forecast the enrollment of a university. Fuzzy time series, an aspect of fuzzy set theory, forecasts enrollment using a first-order time-invariant model. To evaluate the model, the conventional linear regression technique is applied and the...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via ERIC)
Main Author: Song, Qiang
Other Authors: Chissom, Brad S.
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1991.
Subjects:

MARC

LEADER 00000cam a22000002u 4500
001 b6211373
003 CoU
005 20080221101621.6
006 m d f
007 cr un
008 911101s1991 xx |||| ot ||| | eng d
035 |a (ERIC)ed340733 
040 |a ericd  |c ericd  |d MvI 
099 |f ERIC DOC #  |a ED340733 
099 |f ERIC DOC #  |a ED340733 
100 1 |a Song, Qiang. 
245 1 0 |a Forecasting Enrollments with Fuzzy Time Series  |h [electronic resource] /  |c Qiang Song and Brad S. Chissom. 
260 |a [S.l.] :  |b Distributed by ERIC Clearinghouse,  |c 1991. 
300 |a 16 p. 
500 |a ERIC Document Number: ED340733. 
500 |a ERIC Note: Paper presented at the Annual Meeting of the Mid-South Educational Research Association (20th, Lexington, KY, November 12-15, 1991).  |5 ericd. 
500 |a Educational level discussed: Higher Education. 
520 |a The concept of fuzzy time series is introduced and used to forecast the enrollment of a university. Fuzzy time series, an aspect of fuzzy set theory, forecasts enrollment using a first-order time-invariant model. To evaluate the model, the conventional linear regression technique is applied and the predicted values obtained are compared to the fuzzy time series results and actual enrollments. The forecasting procedure begins with "fuzzylising" the universe on which the historical data are based, and then interprets output results (actually fuzzy data sets). Comparison with linear regression shows the superiority of the fuzzy time series for forecasting enrollment. Three tables give comparison figures for fuzzy time series, linear regression, and actual values largely for 1972 through 1990. Three references are listed. (SLD) 
650 0 7 |a Educational Trends.  |2 ericd. 
650 1 7 |a Enrollment Projections.  |2 ericd. 
650 1 7 |a Estimation (Mathematics)  |2 ericd. 
650 0 7 |a Higher Education.  |2 ericd. 
650 0 7 |a Long Range Planning.  |2 ericd. 
650 0 7 |a Mathematical Models.  |2 ericd. 
650 1 7 |a Regression (Statistics)  |2 ericd. 
650 1 7 |a Trend Analysis.  |2 ericd. 
650 1 7 |a Universities.  |2 ericd. 
700 1 |a Chissom, Brad S. 
856 4 0 |u http://files.eric.ed.gov/fulltext/ED340733.pdf  |z Full Text (via ERIC) 
907 |a .b62113732  |b 07-06-22  |c 10-10-10 
998 |a web  |b 10-24-12  |c f  |d m   |e -  |f eng  |g xx   |h 0  |i 1 
956 |a ERIC 
999 f f |i 86ec9b48-4a15-5224-a3da-182c996595a4  |s de89ade8-4eb0-5646-b70c-b22e8115933f 
952 f f |p Can circulate  |a University of Colorado Boulder  |b Online  |c Online  |d Online  |e ED340733  |h Other scheme  |i web  |n 1