Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Increasing and Decreasing with Fuzzy Time Series

Authors
Ming-Tao Chou 0, Hsuan-Shih Lee
Corresponding Author
Ming-Tao Chou
0Chang Jung Christian University
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.294How to use a DOI?
Keywords
Use forecasting; Fuzzy sets; Fuzzy time series
Abstract
There is a significant problem associated with the fuzzy time series. That is a strict increasing and decreasing case. Under the discussion case, fuzzy time series model arise a continuous increasing/decreasing forecasting value. From the illustrative example, we can see that our definition not only define the trend of the fuzzy numbers that represent the linguistic values of the linguistic variable more appropriately, but also can make the fuzzy time series reasonable.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.294How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ming-Tao Chou
AU  - Hsuan-Shih Lee
PY  - 2006/10
DA  - 2006/10
TI  - Increasing and Decreasing with Fuzzy Time Series
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.294
DO  - https://doi.org/10.2991/jcis.2006.294
ID  - Chou2006/10
ER  -