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Fuzzy Time Series Forecasting Model Based on Automatic Clustering Techniques and Generalized Fuzzy Logical Relationship
Joint Authors
Zhang, Ping
Wang, Yanhong
Qiu, Wang-Ren
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In view of techniques for constructing high-order fuzzy time series models, there are three types which are based on advanced algorithms, computational method, and grouping the fuzzy logical relationships.
The last type of models is easy to be understood by the decision maker who does not know anything about fuzzy set theory or advanced algorithms.
To deal with forecasting problems, this paper presented novel high-order fuzz time series models denoted as GTS ( M , N ) based on generalized fuzzy logical relationships and automatic clustering.
This paper issued the concept of generalized fuzzy logical relationship and an operation for combining the generalized relationships.
Then, the procedure of the proposed model was implemented on forecasting enrollment data at the University of Alabama.
To show the considerable outperforming results, the proposed approach was also applied to forecasting the Shanghai Stock Exchange Composite Index.
Finally, the effects of parameters M and N , the number of order, and concerned principal fuzzy logical relationships, on the forecasting results were also discussed.
American Psychological Association (APA)
Qiu, Wang-Ren& Zhang, Ping& Wang, Yanhong. 2015. Fuzzy Time Series Forecasting Model Based on Automatic Clustering Techniques and Generalized Fuzzy Logical Relationship. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1075200
Modern Language Association (MLA)
Qiu, Wang-Ren…[et al.]. Fuzzy Time Series Forecasting Model Based on Automatic Clustering Techniques and Generalized Fuzzy Logical Relationship. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1075200
American Medical Association (AMA)
Qiu, Wang-Ren& Zhang, Ping& Wang, Yanhong. Fuzzy Time Series Forecasting Model Based on Automatic Clustering Techniques and Generalized Fuzzy Logical Relationship. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1075200
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075200