Fuzzy regression analysis: systematic review and bibliography

N Chukhrova, A Johannssen - Applied Soft Computing, 2019 - Elsevier
Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

A seasonal discrete grey forecasting model for fashion retailing

M Xia, WK Wong - Knowledge-Based Systems, 2014 - Elsevier
In the fashion retail industry, level of forecasting accuracy plays a crucial role in retailers'
profit. In order to avoid stock-out and maintain a high inventory fill rate, fashion retailers …

A historic Review of Grey Forecasting Models.

N Xie, R Wang - Journal of grey System, 2017 - search.ebscohost.com
This manuscript aims to summarize the evolution of grey forecasting models and their
applications in recent three decades and digs out several valuable research directions of …

Using fractional order accumulation to reduce errors from inverse accumulated generating operator of grey model

L Wu, S Liu, L Yao, R Xu, X Lei - Soft Computing, 2015 - Springer
To smooth the randomness, a grey forecasting model is formulated using the data of
accumulating generation operator (AGO) rather than original data. Then the inverse …

A novel grey prognostic model based on Markov process and grey incidence analysis for energy conversion equipment degradation

D Zhou, Z Yu, H Zhang, S Weng - Energy, 2016 - Elsevier
Maintenance strategy for energy conversion equipment degradation is now experiencing the
transformation from fail-and-fix to predict-and-prevent due to the equipment complexity and …

Application of grey feed forward back propagation-neural network model based on wavelet denoising to predict the residual settlement of goafs

X Zhang, W Li, X Zhang, G Cai, K Meng, Z Shen - Plos one, 2023 - journals.plos.org
To study the residual settlement of goaf's law and prediction model, we investigated the
Mentougou mining area in Beijing as an example. Using MATLAB software, the wavelet …

A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities

CJ Chang, DC Li, CC Chen, CS Chen - Computers & Industrial Engineering, 2014 - Elsevier
In the early stages of manufacturing systems, it is often difficult to obtain sufficient data to
make accurate forecasts. Grey system theory is one of the approaches to deal with this …

[HTML][HTML] An extended grey forecasting model for omnidirectional forecasting considering data gap difference

DC Li, CJ Chang, WC Chen, CC Chen - Applied Mathematical Modelling, 2011 - Elsevier
To achieve effective and efficient decision making in a highly competitive business
environment, an enterprise must have an appropriate forecasting technique that can meet …

Forecasting annual foreign tourist arrivals to China by incorporating firefly algorithm into fractional non-homogenous discrete Grey model

X Tang, N Xie, A Hu - Kybernetes, 2022 - emerald.com
Purpose Accurate foreign tourist arrivals forecasting can help public and private sectors to
formulate scientific tourism planning and improve the allocation efficiency of tourism …

Forecasting of Turkey's sectoral energy demand by using fuzzy grey regression model

A Karaaslan, M Gezen - … Journal of Energy Economics and Policy, 2017 - dergipark.org.tr
Population growth, technological developments, economical growth and efforts to achieve a
high standard of living increase the demand for energy. Satisfying this increasing demand …