Damage forecasting based on multi-factor fuzzy time series and cloud model-Reference-Cited by-同舟云学术

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Damage forecasting based on multi-factor fuzzy time series and cloud model

Published:2016-09-26 Issue:2 Volume:30 Page:521-538
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Dong Lei,Wang Peng,Yan Fang

Funder

Joint Fund of the National Natural Science Foundation of China and the Civil Aviation Administration of China

Civil Aviation Science and Technology Innovation to Guide Major Financial Projects

Aviation Science and Technology Innovation Guide Funds

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/article/10.1007/s10845-016-1264-4/fulltext.html

Reference49 articles.

1. Bahrepour, M., Akbarzadeh-T, M.-R., Yaghoobi, M., & Naghibi-S, M.-B. (2011). An adaptive ordered fuzzy time series with application to FOREX. Expert Systems with Applications, 38, 475–485.

2. Chen, S. M. (1996). Forecasting enrollments based on fuzzy time series. Fuzzy Sets and Systems, 81(3), 311–319.

3. Chen, S. M. (2002). Forecasting enrollments based on high-order fuzzy time series. Cybernetics and Systems, 33(1), 1–16.

4. Chen, S. M., & Chen, C. D. (2011). TAIEX forecasting based on fuzzy time series and fuzzy variation groups. IEEE Transactions on Fuzzy Systems, 19(1), 1–12.

5. Chen, S. M., & Hwang, J. R. (2000). Temperature prediction using fuzzy time series. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 30(2), 263–275.

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