Optimization of Scanning Parameters in Coordinate Metrology Using Grey Relational Analysis and Fuzzy Logic

<table class="fixed-width table-group" id="tab5"><tr><td><table class="table"><colgroup><col style="width:13.14em"/><col style="width:5.64em"/><col style="width:7.05em"/><col style="width:4.14em"/></colgroup><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2"> </td><td class="align_center" rowspan="2">Eigenvalue</td><td class="align_center" colspan="2">Eigenvector</td></tr><tr class="thead"><td class="align_center">Scanning time</td><td class="align_center">RMS</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">First Principal Component</td><td class="align_center">1.5898</td><td class="align_center">-0.7071</td><td class="align_center">0.7071</td></tr><tr><td class="align_left" colspan="4"><hr/></td></tr><tr><td class="align_left">Second Principal Component</td><td class="align_center">0.4102</td><td class="align_center">-0.7071</td><td class="align_center">-0.7071</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Eigenvalues and eigenvectors for principal components.</div>

Mathematical Problems in Engineering

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Table 5

Table 5: Optimization of Scanning Parameters in Coordinate Metrology Using Grey Relational Analysis and Fuzzy Logic 