The Implication of Taiwan's Ore Tramp Carrier Cargo on the Blast Furnace Plant

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Abstract:

The article used a fuzzy time series model to analyze the relationship between the Taiwans ore tramp carrier cargo and the blast furnace plant in Taiwan. Finally, the proposed fuzzy time series model is applied to an empirical study in Taiwan. The results show that the proposed fuzzy time series forecast model produces a lower forecast error. That indicates it is an appropriate forecast tool.

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Advanced Materials Research (Volumes 694-697)

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3488-3491

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May 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. M., Chen, Forecasting Enrollments Based on Fuzzy Time Series, Fuzzy Sets and Systems. 81(3) (1996) 311 - 319.

DOI: 10.1016/0165-0114(95)00220-0

Google Scholar

[2] S. M., Chen, Forecasting Enrollments Based on High Order Fuzzy Time Series, Cybernetics and Systems: An International Journal. 33(1) (2002) 1 - 16.

DOI: 10.1080/019697202753306479

Google Scholar

[3] Ministry of Transportation and Communication R.O.C., (2012), http://http://www.motc.gov.tw/ch/index.jsp.

Google Scholar

[4] M.-T., Chou, H.-S., Lee, Increasing and Decreasing with Fuzzy Time Series, Joint Conference on Information Sciences. (2006) 1240 - 1243.

Google Scholar

[5] M.-T., Chou, A Fuzzy Time Series Model to Forecast the BDI, IEEE Proceeding of the Fourth International Conference on Networked Computing and Advanced Information Management. (2008) 50 - 53.

DOI: 10.1109/ncm.2008.94

Google Scholar

[6] M.-T., Chou, The Logarithm Function with a Fuzzy Time Series, Journal of Convergence Information Technology. 4(1) (2009) 47 - 51.

Google Scholar

[7] M.-T., Chou, Long-Term Predictive Value Interval with the Fuzzy Time Series, Journal of Marine Science and Technology. 19(5) (2011) 509 - 513.

DOI: 10.51400/2709-6998.2164

Google Scholar

[8] M.-T., Chou, Prediction of Asian Steel Price Index Using Fuzzy Time Series, The 3rd International Conference on Innovations in Bio-Inspired Computing and Applications. (2012) 185-188.

DOI: 10.1109/ibica.2012.26

Google Scholar

[9] H.-S., Lee, M.-T., Chou, Fuzzy Forecast Based on Fuzzy Time Series, International Journal of Computer Mathematics. 81(7) (2004) 781 - 789.

DOI: 10.1080/00207160410001712288

Google Scholar

[10] M.-C., Liaw, The Order Identification of Fuzzy Time Series, Models Construction and Forecasting, Ph.D. Thesis, National Chengchi University, Taiwan, 1997.

Google Scholar

[11] Q., Song, B. S., Chissom, Fuzzy Time Series and Its Models, Fuzzy Sets and Systems. 54(3) (1993a) 269 - 277.

DOI: 10.1016/0165-0114(93)90372-o

Google Scholar

[12] Q., Song, B. S., Chissom, Forecasting Enrollment with Fuzzy Time Series - Part I, Fuzzy Sets and Systems. 54(1) (1993b) 1 - 9.

DOI: 10.1016/0165-0114(93)90355-l

Google Scholar

[13] Q., Song, B. S., Chissom, Forecasting Enrollment with Fuzzy Time Series - Part II, Fuzzy Sets and Systems. 62(1) (1994) 1 - 8.

DOI: 10.1016/0165-0114(94)90067-1

Google Scholar

[14] Q., Song, R. P., Leland, B. S., Chissom, Fuzzy Stochastic Time Series and Its Models, Fuzzy Sets and Systems. 88(3) (1997) 333 - 341.

DOI: 10.1016/s0165-0114(96)00077-2

Google Scholar