n South African Journal of Industrial Engineering - Forecasting method based on high order fuzzy time series and simulated annealing technique : case study

Volume 23, Issue 2
  • ISSN : 1012-277X



This paper proposes a fuzzy forecasting problem to forecast the Alabama University enrolment dataset. A novel simulated annealing heuristic algorithm is used to promote the accuracy of forecasting. The algorithm enjoys two new neighbourhood search operators called 'subtitle' and 'adjust'. A Taguchi method is also used as an optimisation technique to tune the different parameters and operators of the proposed model comprehensively. The experimental results show that the proposed model is more accurate than existing models.

Die navorsing handel oor 'n voorgestelde wasige vooruitskatting vir studente-inskrywing by die Universiteit van Alabama. 'n Nuwerwetse louter heuristiese simulasie-algoritme word gebruik. Die model word onder andere beheer deur 'n Taguchi optimiseringstegniek. Die modelresultate toon 'n verbetering op ander bestaande metodes.

Loading full text...

Full text loading...


Article metrics loading...


This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error