A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td align="center" colspan="7">Centers of clusters</td></tr><tr class="thead"><td align="left"><span style="width: 14.6125px;"><svg height="11.825" id="M72" style="vertical-align:-3.276pt" version="1.1" viewbox="0 0 14.6125 11.825" width="14.6125" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td align="left">13480,6299</td><td align="center">15003,98</td><td align="center">15455,4</td><td align="center">15965,12</td><td align="center">16837,86</td><td align="center">18161,53</td><td align="center">19144,4</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>


 centers of clusters are obtained from FCM algorithm in  Step <a href="https://static.hindawi.com/articles/afs/volume-2012/785709/figures/#step1">1</a>.

Advances in Fuzzy Systems

tab2

Table 2

Table 2: A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm 