Supporting better decision-making: A combined grey model and data envelopment analysis for efficiency evaluation in e-commerce marketplaces
E-commerce has become an integral part of businesses for decades in the modern world,
and this has been exceptionally speeded up during the coronavirus era. To help businesses …
and this has been exceptionally speeded up during the coronavirus era. To help businesses …
Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithm
SL Ou - Computers and electronics in agriculture, 2012 - Elsevier
Agriculture is the foundation of the national economy. Thus, an appropriate tool for
forecasting agricultural output is very important for policy making. In this study, both modified …
forecasting agricultural output is very important for policy making. In this study, both modified …
Forecasting the output of integrated circuit industry using genetic algorithm based multivariable grey optimization models
LC Hsu - Expert systems with applications, 2009 - Elsevier
Accurate and immediate forecast in the short product life cycle of semiconductor market is
difficult, but important. This paper proposed a grey model with factor analysis techniques to …
difficult, but important. This paper proposed a grey model with factor analysis techniques to …
Multiple stages grey target decision making method with incomplete weight based on multi-granularity linguistic label
J Zhu, KW Hipel - Information Sciences, 2012 - Elsevier
The method of grey target decision making based on a multiple stages linguistic label is
extended in this research. Firstly, the multi-granularity linguistic term sets are transformed …
extended in this research. Firstly, the multi-granularity linguistic term sets are transformed …
Prediction of whole social electricity consumption in Jiangsu province based on metabolic FGM (1, 1) model
S Zhang, L Wu, M Cheng, D Zhang - Mathematics, 2022 - mdpi.com
The achievement of the carbon peaking and carbon neutrality targets requires the
adjustment of the energy structure, in which the dual-carbon progress of the power industry …
adjustment of the energy structure, in which the dual-carbon progress of the power industry …
Prediction of the yield of biohydrogen under scanty data conditions based on GM (1, N)
Biohydrogen technology is regarded as one of the most promising ways for hydrogen
production with the considerations of economic priority and environmental performance. In …
production with the considerations of economic priority and environmental performance. In …
Forecasting LCD TV demand using the fuzzy grey model GM (1, 1)
RC Tsaur, YC Liao - International Journal of Uncertainty, Fuzziness …, 2007 - World Scientific
LCD TV is a rather newly developed product, with limited data available for sales of all panel
sizes, and these are collected in a rather vague manner by some research institutes …
sizes, and these are collected in a rather vague manner by some research institutes …
The analysis of GM (1, 1) grey model to predict the health resource allocation in Jilin Province, China: An observational study
W Pu, X Yue, Q Xiong, K Jia, Y Zou - Medicine, 2024 - journals.lww.com
To predict the development of health resource allocation in Jilin Province during the 14th 5-
Year Plan period, and to provide a scientific basis for promoting the improvement of its …
Year Plan period, and to provide a scientific basis for promoting the improvement of its …
[PDF][PDF] Fuzzy forecasting applications on supply chains
Demand forecasting; which sound basis for decision making process, is among the key
activities that directly affect the supply chain performance. As the demand pattern varies from …
activities that directly affect the supply chain performance. As the demand pattern varies from …
[PDF][PDF] Hybrid grey and ANFIS approach to bullwhip effect in supply chain networks
Demand forecasting and decision making processes are among the key activities which
directly affect the performance of successful supply chain networks. The variability of the …
directly affect the performance of successful supply chain networks. The variability of the …