A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting-Reference-Cited by-同舟云学术

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A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting

Published:2004-03-15 Issue:1 Volume:8 Page:3-27
ISSN:1571-4128
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Huarng Kunhuang¹,Yu Hui-Kuang²

Affiliation:

1. Department of International Trade & Electronic Commerce Research Institute, Feng Chia University, 100 Wenhwa Rd., Seatwen, Taichung 407, Taiwan, ROC. Tel.: ext. 6870; E-mail: khhuarng@fcu.edu.tw

2. Department of Public Finance, Feng Chia University, 100 Wenhwa Rd., Seatwen, Taichung 407, Taiwan, ROC. Tel.: ext. 4309; E-mail: hkyu@fcu.edu.tw

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

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