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="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left">Indicator</td><td class="align_center">C1</td><td class="align_center">C2</td><td class="align_center">C3</td><td class="align_center">C4</td><td class="align_center">C5</td><td class="align_center">C6</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Value of weights</td><td class="align_center">0.3071</td><td class="align_center">0.1385</td><td class="align_center">0.2118</td><td class="align_center">0.0890</td><td class="align_center">0.1557</td><td class="align_center">0.0979</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

tab8

Table 8

Table 8: Evaluating the Comprehensive Performance of 5G Base Station: A Hybrid MCDM Model Based on Bayesian Best-Worst Method and DQ-GRA Technique 