Grey system theory and fuzzy time series forecasting for the growth of green electronic materials

References

• Avinash, S., J. Vipul, and T. S. Felix. 2012. “An Integrated Approach for Machine Tool Selection Using Fuzzy Analytical Hierarchy Process and Grey Relational Analysis.” International Journal of Production Research 50 (12): 3211–3221.
   Web of Science ®Google Scholar
• Chang, A. Y. 2012. “Prioritising the Types of Manufacturing Flexibility in an Uncertain Environment.” International Journal of Production Research 50 (8): 2133–2149.
   Web of Science ®Google Scholar
• Chen, S. M. 1996. “Forecasting Enrollments Based on Fuzzy Time Series.” Fuzzy Sets and Systems 81: 311–319.
   Web of Science ®Google Scholar
• Chen, S. M., and C. D. Chen. 2011. “Handling Forecasting Problems Based on High-order Fuzzy Logical Relationships.” Expert Systems with Applications 38 (4): 3857–3864.
   Web of Science ®Google Scholar
• Chen, J., Z. M. Zhang, X. T. Tian, and S. N. Liu. 2011. “An Approach to Partner Selection in Virtual Enterprises Based on Grey Relational Analysis.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 225 (12): 2296–2301.
   Google Scholar
• Deng, J. L. 1982. “Control Problems of Grey System.” System and Control Letters 1 (5): 288–294.
   Web of Science ®Google Scholar
• Deng, J. L. 1988. The Method of Grey System Theory. China: Hua-Zhong University of Science and Technology Publishing.
   Google Scholar
• Deng, J. L. 2000. Grey System Theory and Its Application. Taiwan: Gau Lih Book.
   Google Scholar
• Deng, J. L. 2003. “Literalizing GRA Axioms.” The Journal of Grey System 4: 399–400.
   Google Scholar
• Deng, J. L. 2004a. “Grey Management: Grey Situation Decision Making in Management Science.” The Journal of Grey System 2: 93–96.
   Google Scholar
• Deng, J. L. 2004b. “Grey Talent Management.” The Journal of Grey System 3: 191–196.
   Google Scholar
• Herbig, P., J. Milewicz, and J. E. Golden. 1993. “Forecast: Who, What, When, and How.” Journal of Business Forecasting 15 (5): 395–412.
   Google Scholar
• Ho, C. T. 2006. “Measuring Bank Operations Performance: An Approach Based on Grey Relation Analysis.” Journal of the Operational Research Society 57: 337–349.
   Web of Science ®Google Scholar
• Hu, P. Y. 2004. “Using a Grey Multipurpose Decision System for Car Purchasing.” The Journal of Grey Systems 7 (1): 11–14.
   Google Scholar
• Huarng, K. 2001a. “Heuristic Models of Fuzzy Time Series for Forecasting.” Fuzzy Sets and Systems 123: 369–386.
   Web of Science ®Google Scholar
• Huarng, K. 2001b. “Effective Lengths of Intervals to Improve Forecasting in Fuzzy Time Series.” Fuzzy Sets and Systems 123: 387–394.
   Web of Science ®Google Scholar
• Huarng, K., and T. H. Yu. 2006. “The Application of Neural Network to Forecasting Fuzzy Time Series.” Physica A 363: 481–491.
   Web of Science ®Google Scholar
• Huarng, K. H., T. H. K. Yu, and Y. W. Hsu. 2007. “A Multivariate Heuristic Model for Fuzzy Time-series Forecasting.” Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 37 (4): 836–846.
   PubMed Web of Science ®Google Scholar
• Jiang, H., and W. W. He. 2012. “Grey Relational Grade in Local Support Vector Regression for Financial Time Series Prediction.” Expert Systems with Applications 39 (3): 2256–2262.
   Web of Science ®Google Scholar
• Joseph, W. K. 2008. “Product End-of-life Options Selection: Grey Relational Analysis Approach.” International Journal of Production Research 46 (11): 2889–2912.
   Web of Science ®Google Scholar
• Kayacan, E., B. Ulutas, and O. Kaynak. 2010. “Grey System Theory-based Models in Time Series Prediction.” Expert Systems with Applications 37 (2): 1784–1789.
   Web of Science ®Google Scholar
• Kruger, L. P. 2012. “Developing Operations Strategies – Reassessing the Strength and Importance of Competitive Operations Priorities for South African Businesses.” South African Journal of Business Management 43 (3): 13–28.
   Web of Science ®Google Scholar
• Lewis, C. D. 1982. Industrial and Business Forecasting Methods. London: Butterworths.
   Google Scholar
• Li, G. D., S. Masuda, C. H. Wang, and M. Nagai. 2010. “The Hybrid Grey-based Model for Cumulative Curve Prediction in Manufacturing System.” The International Journal of Advanced Manufacturing Technology 47 (1–4): 337–349.
   Web of Science ®Google Scholar
• Mao, M., and E. C. Chirwa. 2006. “Application of Grey Model GM (1, 1) to Vehicle Fatality Risk Estimation.” Technological Forecasting and Social Change 73 (5): 588–605.
   Web of Science ®Google Scholar
• Philips, D., A. Eleni, and S. Haralambos. 2008. “A Combined Model Predictive Control and Time Series Forecasting Framework for Production-inventory Systems.” International Journal of Production Research 46 (24): 6841–6853.
   Web of Science ®Google Scholar
• Polito, F., A. Petria, G. Pontuale, and F. Dalton. 2010. “Analysis of Metal Cutting Acoustic Emissions by Time Series Models.” The International Journal of Advanced Manufacturing Technology 48 (9–12): 897–903.
   Web of Science ®Google Scholar
• Sadeghi, M., S. H. Hajiagfa, and S. S. Hashemi. 2013. “A Fuzzy Grey Goal Programming Approach for Aggregate Production Planning.” The International Journal of Advanced Manufacturing Technology 64 (9–12): 1715–1727.
   Web of Science ®Google Scholar
• Shah, M. 2012. “Fuzzy Based Trend Mapping and Forecasting for Time Series Data.” Expert Systems with Applications 39 (7): 6351–6358.
   Web of Science ®Google Scholar
• Siriram, R., and D. R. Snaddon. 2010. “Forecasting New Product Sales.” South African Journal of Industrial Engineering 21 (1): 123–135.
   Web of Science ®Google Scholar
• Song, Q., and B. S. Chissom. 1993a. “Fuzzy Time Series and Its Models.” Fuzzy Sets and Systems 54: 269–277.
   Web of Science ®Google Scholar
• Song, Q., and B. S. Chissom. 1993b. “Forecasting Enrollments with Fuzzy Time Series-part 1.” Fuzzy Sets and Systems 54: 1–9.
   Web of Science ®Google Scholar
• Song, Q., and B. S. Chissom. 1994. “Forecasting Enrollments with Fuzzy Time Series – Part II.” Fuzzy Sets and Systems 62: 1–8.
   Web of Science ®Google Scholar
• Troung, D. Q., and K. K. Ahn. 2012. “An Accurate Signal Estimator Using a Novel Smart Adaptive Grey Model SAGM (1,1).” Expert Systems with Applications 39 (9): 7611–7620.
   Web of Science ®Google Scholar
• Tsaur, R. C., and T. C. Kuo. 2011. “The Adaptive Fuzzy Time Series Model with an Application to Taiwan’s Tourism Demand.” Expert Systems with Applications 38 (8): 9164–9171.
   Web of Science ®Google Scholar
• Wang, Y. F. 2002. “Predicting Stock Price Using Fuzzy Grey Prediction System.” Expert Systems with Applications 22 (1): 33–38.
   Web of Science ®Google Scholar
• Wang, C. H. 2004. “Predicting Tourism Demand Using Fuzzy Time Series and Hybrid Grey Theory.” Tourism Management 25 (3): 367–374.
   Web of Science ®Google Scholar
• Wong, H. L., Y. H. Tu, and C. C. Wang. 2010. “Application of Fuzzy Time Series Models for Forecasting the Amount of Taiwan Export.” Expert Systems with Applications 37 (2): 1465–1470.
   Web of Science ®Google Scholar
• Wu, D. H., D. L. Olson, and Y. D. Zhao. 2006. “Data Mining and Simulation: A Grey Relationship Demonstration.” International Journal of Systems Science 37 (13): 981–986.
   Web of Science ®Google Scholar
• Yao, A. W., S. C. Chi, and J. H. Chen. 2003. “An Improved Grey-based Approach for Electricity Demand Forecasting.” Electric Power Systems Research 67 (3): 217–224.
   Web of Science ®Google Scholar
• Yu, H. K. 2004. “Weighted Fuzzy Time Series Models for TAIEX Forecasting.” Physica A 349: 609–624.
   Web of Science ®Google Scholar
• Zadeh, L. A. 1965. “Fuzzy Sets.” Information and Control 8 (3): 338–353.
   Google Scholar