[Retracted] Novel Decision-Making Techniques in Tripolar Fuzzy Environment with Application: A Case Study of ERP Systems

<table class="table-group" id="tab17"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Methods</td><td class="align_center">Describe fuzzy information easier</td><td class="align_center">More flexible by a parameter</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Dombi [<a href="/journals/cin/2022/4488576/#B30" target="_blank">30</a>]</td><td class="align_center">Yes</td><td class="align_center">No</td></tr><tr><td class="align_left">Xu and Yager [<a href="/journals/cin/2022/4488576/#B5" target="_blank">5</a>]</td><td class="align_center">Yes</td><td class="align_center">No</td></tr><tr><td class="align_left">Proposed operator</td><td class="align_center">Yes</td><td class="align_center">Yes</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of proposed and existing methods.</div>

Computational Intelligence and Neuroscience

tab17

Table 17

Table 17: [Retracted] Novel Decision-Making Techniques in Tripolar Fuzzy Environment with Application: A Case Study of ERP Systems 