Please use this identifier to cite or link to this item: http://thuvienso.bvu.edu.vn/handle/TVDHBRVT/19041
Title: Time Series Forecasting Using Fuzzy Time Series With Hedge Algebras Approach
Authors: Vu, Minh Loc
Pham, The Yen
Huynh Pham, Thanh Nghia
Keywords: Fuzzy time series
Hedge algebras
Issue Date: 2017
Publisher: International Journal of Emerging Technology and Advanced Engineering
Series/Report no.: Volume 7, Issue 12, December 2017;p. 125-133
Abstract: During the recent years, many different methods of using fuzzy time series for forecasting have been published. This paper presents a novel technique based on the hedge algebras (HA) approach. Based upon the HA, the fuzziness intervals are used to quantify the values of fuzzy time series. The intervals are determined through the fuzziness intervals and the adjusted fuzzy logical relationships. The experimental results, forecasting enrolments at the University of Alabama, demonstrate that the proposed method significantly outperforms the published ones.
URI: http://thuvienso.bvu.edu.vn/handle/TVDHBRVT/19041
ISSN: 2250-2459
Appears in Collections:TT Đào tạo đại cương - PT kĩ năng mềm (Articles)

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