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The ANFIS System for Nonlinear Combined Fore-casts in the Telecommunications Industry

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 37 - Number 12
Year of Publication: 2012
Chen-Chun Lin
Chun-Ling Lin
Joseph Z. Shyu
Chin-Teng Lin

Chen-Chun Lin, Chun-Ling Lin, Joseph Z Shyu and Chin-Teng Lin. Article: The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry. International Journal of Computer Applications 37(12):30-35, January 2012. Full text available. BibTeX

	author = {Chen-Chun Lin and Chun-Ling Lin and Joseph Z. Shyu and Chin-Teng Lin},
	title = {Article: The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {37},
	number = {12},
	pages = {30-35},
	month = {January},
	note = {Full text available}


The Adaptive Network-Based Fuzzy Inference System (ANFIS) has been proven to be efficient for forecasting. To address this concern, this research develops a nonlinear combined forecasting system by ANFIS for predicting the demand of telecommu-nication technology. We investigate the weights assigned to the combined forecast using two linear methods (the Least squares analysis and the Logistic model), as well as one nonlinear me-thods (the Bass model). An empirical data set from 3G technol-ogy development in Taiwan is used to demonstrate the application of the proposed methodology. These results show that the ANFIS method outperforms other individual methods. Also, this proposed work also provides the user with a user interface in which user can fill the query and find the desired forecasting results.


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