Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers

<table class="fixed-width table-group" id="tab5"><tr><td><table class="table"><colgroup><col style="width:29.61em"/><col style="width:2.07em"/><col style="width:3.82em"/><col style="width:6.98em"/><col style="width:10.13em"/></colgroup><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">N</td><td class="align_center">Mean</td><td class="align_center">Std. Deviation</td><td class="align_center">Mean of the std. Error</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Conventional GA to optimize type-2 fuzzy aggregator</td><td class="align_center">15</td><td class="align_center">.2037</td><td class="align_center">0.0655</td><td class="align_center">0.017</td></tr><tr><td class="align_left">Type-1 Fuzzy adaptation in GA to optimize the type-2 fuzzy aggregator</td><td class="align_center">15</td><td class="align_center">0.0491</td><td class="align_center">0.0327</td><td class="align_center">0.0084</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td><div>Results: T-value = 8.18; P value &lt; 0.001; DF = 28.<br/></div></td></tr></table>

<div>Results for the Student t-test with the rudder.</div>

Advances in Operations Research

tab5

Table 5

Table 5: Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers 