Time Variant Fuzzy Time Series Approach for Forecasting Using Particle Swarm Optimization

Fuzzy time series have been developed during the last decade to improve the forecast accuracy. Many algorithms have been applied in this approach of forecasting such as high order time invariant fuzzy time series. In this paper, we present a hybrid algorithm to deal with the forecasting problem base...

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Bibliographic Details
Main Authors: Mehdi Mahnam, Seyyed Mohammad Taghi Fatemi Ghomi
Format: Article
Language:English
Published: Iran University of Science & Technology 2012-11-01
Series:International Journal of Industrial Engineering and Production Research
Subjects:
Online Access:http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-10-3&slc_lang=en&sid=1