Paper Title:
A Revised Fuzzy Time Series Method
  Abstract

In this paper,we presents two methods to forecast secular trend and seasonal variation time series problems respectively. The revised fuzzy time series method uses Song and Chrisom’s first-order time-invariant model to predict such linguistic historical data problems. This method obtains a better average error than the error in Song and Chrisom’s method. The method using fuzzy regression theory solves the shortcoming that fuzzy time series method could not work in dealing with seasonal variation time series problems.

  Info
Periodical
Advanced Materials Research (Volumes 171-172)
Edited by
Zhihua Xu, Gang Shen and Sally Lin
Pages
140-143
DOI
10.4028/www.scientific.net/AMR.171-172.140
Citation
Y. H. Yu, L. X. Song, "A Revised Fuzzy Time Series Method", Advanced Materials Research, Vols. 171-172, pp. 140-143, 2011
Online since
December 2010
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Price
$32.00
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