Intelligent Gamification Mechanics Using Fuzzy-AHP and K-Means to Provide Matched Partner Reference

<table class="table-group" id="tab14"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_center">Alternative</td><td class="align_center">Weight score</td><td class="align_center">Ranking</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">A1-SME 1</td><td class="align_center">0.209</td><td class="align_center">Rank 4</td></tr><tr><td class="align_left">A2-SME 2</td><td class="align_center">0.980</td><td class="align_center">Rank 1</td></tr><tr><td class="align_left">A3-SME 3</td><td class="align_center">0.791</td><td class="align_center">Rank 2</td></tr><tr><td class="align_left">A4-SME 4</td><td class="align_center">0.565</td><td class="align_center">Rank 3</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Ranking of SME reference on fuzzy-AHP.</div>

Discrete Dynamics in Nature and Society

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Table 14

Table 14: Intelligent Gamification Mechanics Using Fuzzy-AHP and K-Means to Provide Matched Partner Reference 