Deriving Weights of Criteria from Inconsistent Fuzzy Comparison Matrices by Using the Nearest Weighted Interval Approximation

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Criteria</td><td align="center">The obtained weights</td><td align="center">Rank of criteria</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left"><b>1</b></td><td align="center"><span style="width: 82.662498px;"><svg height="15.1" id="M158" style="vertical-align:-3.276pt" version="1.1" viewbox="0 0 82.662498 15.1" width="82.662498" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td><td align="center">1</td></tr><tr><td align="left"><b>2</b></td><td align="center"><span style="width: 82.662498px;"><svg height="15" id="M159" style="vertical-align:-3.276pt" version="1.1" viewbox="0 0 82.662498 15" width="82.662498" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td><td align="center">2</td></tr><tr><td align="left"><b>3</b></td><td align="center"><span style="width: 82.662498px;"><svg height="15.1375" id="M160" style="vertical-align:-3.39066pt" version="1.1" viewbox="0 0 82.662498 15.1375" width="82.662498" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td><td align="center">3</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The result of proposed method for Example3 (see Section <a href="https://static.hindawi.com/articles/aor/volume-2012/574710/figures/#sec4.3">4.3</a>).

Advances in Operations Research

tab4

Table 4

Table 4: Deriving Weights of Criteria from Inconsistent Fuzzy Comparison Matrices by Using the Nearest Weighted Interval Approximation 