(IJCSIS) International Journal of Computer Science and
Information Security,Vol. 8, No. 8, 2010 : Fuzzify the
historical data. Each historical data can befuzzified into a
fuzzy set. : Build fuzzy logic relationships. Build fuzzy
logicrelationships. Two consecutive fuzzy sets A (t) can be
established into a single FLR as A In this section we proposed
an efficient fuzzy time seriesforecasting model based on fuzzy
clustering to handleforecasting problems and improving
forecasting accuracy.Most researchers have been taken the same
way according to processes of the fuzzy time-series, which are
presented by Songand Chissom, but we introduce a novel model
based on fuzzyclustering to determine the membership values not
as Song andChissom model, and to increase the performance.
Proposedmodel employed eight main steps in time-invariant fuzzy
time-series and time-variant fuzzy time series models as
follows: Step 1: Cluster data into c clusters: Apply fuzzy
clusteringon a time series Y(t) with n observation to cluster th