A Novel Exercise Thermophysiology Comfort Prediction Model with Fuzzy Logic

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/misy/volume-2016/8586493/figures/8586493.fig.003a.svgz" name="8586493.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Mean skin temperature</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/misy/volume-2016/8586493/figures/8586493.fig.003b.svgz" name="8586493.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Mean core temperature</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/misy/volume-2016/8586493/figures/8586493.fig.003c.svgz" name="8586493.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Change rate of mean skin temperature</td></tr></table>

<div>The membership function of thermal comfort indicators.</div>

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Figure 3

Figure 3: A Novel Exercise Thermophysiology Comfort Prediction Model with Fuzzy Logic 