2016
DOI: 10.3390/app6030073
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating Performance of the DGM(2,1) Model and Its Modified Models

Abstract: Abstract:The direct grey model (DGM(2,1)) is considered for fluctuation characteristics of the sampling data in Grey system theory. However, its applications are quite uncommon in the past literature. The improvement of the precision of the DGM(2,1) is only presented in few previous researches. Moreover, the evaluation of forecasted performance of the DGM(2,1) model and its applications was not conducted in previous studies. As the results, this study aims to evaluate forecasted performance of the DGM(2,1) and… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
6
3

Relationship

2
7

Authors

Journals

citations
Cited by 16 publications
(8 citation statements)
references
References 15 publications
0
8
0
Order By: Relevance
“…This system offers the techniques, notions and ideas to analyze latent and intricate systems [36]. With the strengths on non-functional series for model construction and simple calculation, Grey system theory has been utilized for factor analyzing, optimization theorem, forecasting or numerical analyzing in different research fields [37][38][39][40]. Grey generating, Grey relational analysis, Grey model construction, Grey forecasting, Grey decision making and Grey control are major sections of Grey system theory, which was widely used for academic studies and practical industries such as engineering [41,42], tourism [43], and service industries [44], etc.…”
Section: Literatures Review On Grey System Theorymentioning
confidence: 99%
“…This system offers the techniques, notions and ideas to analyze latent and intricate systems [36]. With the strengths on non-functional series for model construction and simple calculation, Grey system theory has been utilized for factor analyzing, optimization theorem, forecasting or numerical analyzing in different research fields [37][38][39][40]. Grey generating, Grey relational analysis, Grey model construction, Grey forecasting, Grey decision making and Grey control are major sections of Grey system theory, which was widely used for academic studies and practical industries such as engineering [41,42], tourism [43], and service industries [44], etc.…”
Section: Literatures Review On Grey System Theorymentioning
confidence: 99%
“…To improve the prediction accuracy of electricity consumption in actual modelling, it is necessary to select a forecasting model that works well with a relatively small sample size in the context of short-term forecasting. Moreover, it has been found that the data closer to the forecasts period exert more significant efforts on prediction effects [13,14]. Thus, making full use of more recent data is another way to improve prediction performance.…”
Section: Background and Motivationmentioning
confidence: 99%
“…Compared with traditional statistical forecast models, the historical data requirement for model construction of grey predictions can be minimized to at least four data points, the mathematical background for modeling is quite simple, and the forecast performance has high accuracy. For these reasons, grey prediction models have been widely utilized in the different fields of business forecasting, in both previous and current studies [23,[30][31][32][33]. Therefore, grey predictions have become a favorite short-term forecasting technique for understanding the statements with limited past information or difficult to obtain data in the recent three decades.…”
Section: The Grey Forecastingmentioning
confidence: 99%
“…In this study, we adopted various error measurements to assess the forecast performance of the proposed models, including relative percentage errors (RPE), mean absolute deviation (MAD), mean absolute percent error (MAPE), root mean squared error (RMSE), and the accuracy rate or precision rate (p). These measurements were commonly applied in the previous literature when deciding among forecast alternatives [31][32][33]. Its functions are expressed as follows:…”
Section: Assessing Forecast Performancementioning
confidence: 99%