ALGORITHM FOR MULTI-SOURCE INFORMATION FUSION BASED ON (FUZZY) PARTIAL ORDER RELATION |

This study primarily examines multi-source information fusion methods and presents a multi-source information fusion technique based on fuzzy partial order relations. Making all of the parts comparable is the key to attaining information fusion. To gain the good or bad order of the subjects being evaluated and the most relevant information, we will first transfer the constructed fuzzy partial order into total order, resulting in a new system. Second, we obtain the information fusion methods. Finally, we provide an example to assess the algorithms' practicality and effectiveness.

Please see the link :- https://www.ikprress.org/index.php/AJOMCOR/article/view/5480