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A Rule-based Forecasting System Integrating combining and Single Forecast for Decision Making

by Chun-Ling Lin, Chen-Chun Lin, Joseph Z. Shyu, Chin-Teng Lin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 14
Year of Publication: 2012
Authors: Chun-Ling Lin, Chen-Chun Lin, Joseph Z. Shyu, Chin-Teng Lin
10.5120/4885-7195

Chun-Ling Lin, Chen-Chun Lin, Joseph Z. Shyu, Chin-Teng Lin . A Rule-based Forecasting System Integrating combining and Single Forecast for Decision Making. International Journal of Computer Applications. 39, 14 ( February 2012), 1-6. DOI=10.5120/4885-7195

@article{ 10.5120/4885-7195,
author = { Chun-Ling Lin, Chen-Chun Lin, Joseph Z. Shyu, Chin-Teng Lin },
title = { A Rule-based Forecasting System Integrating combining and Single Forecast for Decision Making },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 14 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number14/4885-7195/ },
doi = { 10.5120/4885-7195 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:25.506021+05:30
%A Chun-Ling Lin
%A Chen-Chun Lin
%A Joseph Z. Shyu
%A Chin-Teng Lin
%T A Rule-based Forecasting System Integrating combining and Single Forecast for Decision Making
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 14
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many studies demonstrated that combining forecasts produces consistent but modest gains in accuracy. However, little researches define well the conditions under neither which combining is most effective nor how methods should be combined in each situation. In this paper, a rule-based forecasting system industry is proposed in order tocompare forecast performance between combining forecasts and single forecasts, then define these conditions and to specify more effective combinations, finally suggest the best methods. Two comparative case studies for the telecommunications and TFT-LCD industry are proposed to examine the performance of the proposed system.Results from this study indicate that combining forecasts outperform single forecasts only when data set is data have various nonlinear characteristics. In this research, empirical evidence shows that rules based on causal forces improved the selection of forecasting methods, thestructuring of time series, and the assessment of prediction intervals.

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Index Terms

Computer Science
Information Sciences

Keywords

Combining Forecast Single Forecast Accuracy Multiple Forecast Rule-based Forecasting

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