Evaluating the Comprehensive Performance of 5G Base Station: A Hybrid MCDM Model Based on Bayesian Best-Worst Method and DQ-GRA Technique

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Expert number</td><td class="align_center">The best indicator</td><td class="align_center">The worst indicator</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">C1</td><td class="align_center">C4</td></tr><tr><td class="align_left">2</td><td class="align_center">C1</td><td class="align_center">C6</td></tr><tr><td class="align_left">3</td><td class="align_center">C1</td><td class="align_center">C2</td></tr><tr><td class="align_left">4</td><td class="align_center">C1</td><td class="align_center">C4</td></tr><tr><td class="align_left">5</td><td class="align_center">C1</td><td class="align_center">C4</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The best and worst indicators are determined by five invited experts.</div>

Mathematical Problems in Engineering

tab5

Table 5

Table 5: Evaluating the Comprehensive Performance of 5G Base Station: A Hybrid MCDM Model Based on Bayesian Best-Worst Method and DQ-GRA Technique 