A Guide to Integrating Expert Opinion and Fuzzy AHP When Generating Weights for Composite Indices

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_center" colspan="2">Expert alpha values</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Greater than 20</td><td class="align_center">40%</td></tr><tr><td class="align_left">Greater than 10, less than 20</td><td class="align_center">30%</td></tr><tr><td class="align_left">Greater than 5, less than 10</td><td class="align_center">20%</td></tr><tr><td class="align_left">Less than 5</td><td class="align_center">10%</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Expert alpha values based on their research output in high impact journals.</div>

Advances in Fuzzy Systems

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Table 2

Table 2: A Guide to Integrating Expert Opinion and Fuzzy AHP When Generating Weights for Composite Indices 