Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

The Set SFmBDR of Fuzzy Time Series Forecasting Models

Authors
Hao Feng, Hongxu Wang, Chengguo Yin, Xiaoli Lu
Corresponding Author
Hao Feng
Available Online March 2017.
DOI
10.2991/msam-17.2017.12How to use a DOI?
Keywords
forecasting method of fuzzy time series; fuzzy function of SFmBDR;Inverse fuzzy function of SFmBDR; forecasting function of SFmBDR
Abstract

Fuzzy time series forecasting models are created by Song and Chissom in 1993. In 2012, Saxena, Sharma& Easo put forward the forecasting model which more improve the forecasting accuracy. According to this, this paper improve the set SFmBDR of fuzzy time series forecasting model based on differential rate. The forecasting model SFmBDR (0.000002,0.000004) and SFmBDR (0.000004,0.000002) of SFmBDR can gain the AFER=0% and MSE=0, during we study the problems of enrollments data of University of Alabama in 1971~1992. They should have better application potential.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
10.2991/msam-17.2017.12
ISSN
1951-6851
DOI
10.2991/msam-17.2017.12How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hao Feng
AU  - Hongxu Wang
AU  - Chengguo Yin
AU  - Xiaoli Lu
PY  - 2017/03
DA  - 2017/03
TI  - The Set SFmBDR of Fuzzy Time Series Forecasting Models
BT  - Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
PB  - Atlantis Press
SP  - 45
EP  - 48
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-17.2017.12
DO  - 10.2991/msam-17.2017.12
ID  - Feng2017/03
ER  -