Forecasting the Direction of Short-Term Crude Oil Price Changes with Genetic-Fuzzy Information Distribution

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/3868923/figures/3868923.fig.002a.svgz" name="3868923.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Brent crude oil prices</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/3868923/figures/3868923.fig.002b.svgz" name="3868923.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>WTI crude oil prices</td></tr></table>

<div>The three-dimensional stereograms of information distribution matrix at the final solutions.</div>

Mathematical Problems in Engineering

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Figure 2

Figure 2: Forecasting the Direction of Short-Term Crude Oil Price Changes with Genetic-Fuzzy Information Distribution 