Add to ORKG[[abstract]]Grey theory is an effective method to solve uncertainty problems with discrete data and incomplete information. This paper proposes an improved grey GM (1, 1) model, using a technique that combines residual modification with Markov chain model. Proposed Grey-Markov model, applied as a case study to annual output of Taiwan Hsinchu Industries Science Park, could clearly improve forecast accuracy of original Grey forecast model.[[notice]]補正完畢[[journaltype]]國外[[incitationindex]]SC
According to the characters of few economic forecasting data and complicated action mechanism, this ...
For the small sample poor information, grey model is one of the good forecasting models. However, th...
In this paper, we used Grey modeling as a tool to forecast the demand of wheat in Pakistan. Forecast...
Grey theory deals with systems that are characterized by poor information or for which information i...
Grey forecasting based on the grey system theory is a dynamic forecasting model and has been success...
Grey prediction models for time series have been widely applied to demand forecasting because only l...
Grey forecasting theory is an approach to build a prediction model with limited data to produce bett...
Grey theory is an approach that can be used to construct a model with limited samples to provide bet...
This study utilizes the black swan theorem to discuss how to face the lack of historical data and ou...
GM(1,1) is a univariate grey prediction model with incomplete structural information, in which the r...
[[abstract]]The rapid economic growth of Asia‐Pacific countries continues to result in faster travel...
In recent years, the nonhomogeneous grey model has received much attention owing to its flexibility ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Accurate prediction of foreign tourist numbers is crucial for each country to devise sustainable tou...
[[abstract]]Over the past two decades, the grey model (GM) and its extensions have shown to be an ef...
According to the characters of few economic forecasting data and complicated action mechanism, this ...
For the small sample poor information, grey model is one of the good forecasting models. However, th...
In this paper, we used Grey modeling as a tool to forecast the demand of wheat in Pakistan. Forecast...
Grey theory deals with systems that are characterized by poor information or for which information i...
Grey forecasting based on the grey system theory is a dynamic forecasting model and has been success...
Grey prediction models for time series have been widely applied to demand forecasting because only l...
Grey forecasting theory is an approach to build a prediction model with limited data to produce bett...
Grey theory is an approach that can be used to construct a model with limited samples to provide bet...
This study utilizes the black swan theorem to discuss how to face the lack of historical data and ou...
GM(1,1) is a univariate grey prediction model with incomplete structural information, in which the r...
[[abstract]]The rapid economic growth of Asia‐Pacific countries continues to result in faster travel...
In recent years, the nonhomogeneous grey model has received much attention owing to its flexibility ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Accurate prediction of foreign tourist numbers is crucial for each country to devise sustainable tou...
[[abstract]]Over the past two decades, the grey model (GM) and its extensions have shown to be an ef...
According to the characters of few economic forecasting data and complicated action mechanism, this ...
For the small sample poor information, grey model is one of the good forecasting models. However, th...
In this paper, we used Grey modeling as a tool to forecast the demand of wheat in Pakistan. Forecast...