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Che-Jung Chang
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2020 – today
- 2022
- [j15]Jianhong Guo
, Che-Jung Chang
An Aggregating Prediction Model for Management Decision Analysis. Complex. 2022: 6312579:1-6312579:7 (2022) - 2021
- [j14]Che-Jung Chang, Chien-Chih Chen
A new grey prediction model considering the data gap compensation. Grey Syst. Theory Appl. 11(4): 650-663 (2021) - 2020
- [j13]Chien-Chih Chen
An envelopment learning procedure for improving prediction accuracies of grey models. Comput. Ind. Eng. 139: 106185 (2020)
2010 – 2019
- 2018
- [j12]Che-Jung Chang
Latent-Function-Based Residual Discrete Grey Model for Short-Term Demand Forecasting. Cybern. Syst. 49(3): 170-180 (2018) - 2017
- [j11]Che-Jung Chang
A grey modeling procedure based on the data smoothing index for short-term manufacturing demand forecast. Comput. Math. Organ. Theory 23(3): 409-422 (2017) - 2016
- [j10]Che-Jung Chang
Extended modeling procedure based on the projected sample for forecasting short-term electricity consumption. Adv. Eng. Informatics 30(2): 211-217 (2016) - [j9]Che-Jung Chang
A mega-trend-diffusion grey forecasting model for short-term manufacturing demand. J. Oper. Res. Soc. 67(12): 1439-1445 (2016) - 2015
- [j8]Che-Jung Chang
A novel gray forecasting model based on the box plot for small manufacturing data sets. Appl. Math. Comput. 265: 400-408 (2015) - [j7]Che-Jung Chang
A novel procedure for multimodel development using the grey silhouette coefficient for small-data-set forecasting. J. Oper. Res. Soc. 66(11): 1887-1894 (2015) - 2014
- [j6]Che-Jung Chang
A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities. Comput. Ind. Eng. 67: 139-145 (2014) - [j5]Che-Jung Chang
A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting. Neurocomputing 129: 343-349 (2014) - [j4]Der-Chiang Li
Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants. Neurocomputing 142: 73-85 (2014) - 2012
- [j3]Der-Chiang Li
A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems. Expert Syst. Appl. 39(1): 1575-1581 (2012) - [j2]Der-Chiang Li
Determining manufacturing parameters to suppress system variance using linear and non-linear models. Expert Syst. Appl. 39(4): 4020-4025 (2012)
2000 – 2009
- 2009
- [j1]Der-Chiang Li
An improved grey-based approach for early manufacturing data forecasting. Comput. Ind. Eng. 57(4): 1161-1167 (2009)
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