Developing defuzzifying method of fuzzy time-variant series for forecasting product demand
This thesis is about proposing a method of defuzzifying fuzzy time-variant series on forecasting demand by developing time-variant model considering Mean Absolute Error (MAE) and trend of primary forecasting (MAE&Trend). The previous method of defuzzifying was based on Artificial Neural Network...
Saved in:
Main Author: | Saeed, Akbarnatajbisheh |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/41814/5/SaeedAkbarnatajbishehMFKM2013.pdf http://eprints.utm.my/id/eprint/41814/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using data envelopment analysis to defuzzify a group of dependent fuzzy numbers
by: Langroudi, Majid Zerafat Angiz, et al.
Published: (2014) -
A new defuzzifying process of type-2 fuzzy data modeling
by: Rozaimi Zakaria
Published: (2020) -
Improved models in fuzzy time series for forecasting
by: Sadaei, Hossein Javedani
Published: (2013) -
Method to defuzzify groups of fuzzy numbers: Allocation problem application
by: Ahmed, Jehan S., et al.
Published: (2016) -
M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
by: Mansor, Rosnalini, et al.