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The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry

by Chen-Chun Lin, Chun-Ling Lin, Joseph Z. Shyu, Chin-Teng Lin
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 12
Year of Publication: 2012
Authors: Chen-Chun Lin, Chun-Ling Lin, Joseph Z. Shyu, Chin-Teng Lin
10.5120/4740-6958

Chen-Chun Lin, Chun-Ling Lin, Joseph Z. Shyu, Chin-Teng Lin . The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry. International Journal of Computer Applications. 37, 12 ( January 2012), 30-35. DOI=10.5120/4740-6958

@article{ 10.5120/4740-6958,
author = { Chen-Chun Lin, Chun-Ling Lin, Joseph Z. Shyu, Chin-Teng Lin },
title = { The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 12 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number12/4740-6958/ },
doi = { 10.5120/4740-6958 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:13.793111+05:30
%A Chen-Chun Lin
%A Chun-Ling Lin
%A Joseph Z. Shyu
%A Chin-Teng Lin
%T The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 12
%P 30-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Network-Based Fuzzy Inference System Combined Forecasts Least Squares Analysis Logistic Model Bass Model

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