Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Evaluation metric</td><td class="align_center" colspan="3">Data fusion methods</td></tr><tr class="thead"><td class="align_center">NN</td><td class="align_center">DS</td><td class="align_center">CDN</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">PA</td><td class="align_center">0.869</td><td class="align_center">0.835</td><td class="align_center"><b>0.914</b></td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Performance comparison of different fusion methods.

Computational Intelligence and Neuroscience

tab7

Table 7

Table 7: Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust 