Research Article
The Context-Aware Calculating Method in Language Environment Based on Hedge Algebras Approach to Improve Result of Forecasting Time Series
@INPROCEEDINGS{10.1007/978-3-319-77818-1_11, author={Minh Vu and Hoang Vu and The Pham}, title={The Context-Aware Calculating Method in Language Environment Based on Hedge Algebras Approach to Improve Result of Forecasting Time Series}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 6th International Conference, ICCASA 2017, and 3rd International Conference, ICTCC 2017, Tam Ky, Vietnam, November 23-24, 2017, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2018}, month={3}, keywords={Forecasting Fuzzy time series Hedge algebras Enrollments Intervals Context-Aware}, doi={10.1007/978-3-319-77818-1_11} }- Minh Vu
Hoang Vu
The Pham
Year: 2018
The Context-Aware Calculating Method in Language Environment Based on Hedge Algebras Approach to Improve Result of Forecasting Time Series
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-319-77818-1_11
Abstract
During the recent years, many different methods of using fuzzy time series for forecasting have been published. However, computation in the linguistic environment one term has two parallel semantics, one represented by fuzzy sets it human-imposed and the rest is due to the context of the problem. Hedge algebra is the algebraic approach to the semantic order structure of domain of the linguistic variables that unifies the mentioned above two semantics of each term and therefore, there is a Context-Aware calculating method in the language environment. That is the core of the new approach we mentioned in this article to increase accuracy of solve the time series forecasting problem. The experimental results, forecasting enrollments at the University of Alabama and forecasting TAIEX Index, demonstrate that the proposed method significantly outperforms the published ones. The experimental results, forecasting enrollments at the University of Alabama, demonstrate that the proposed method outperforms the others listed methods.
