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

The approach for multi-source information fusion is primarily discussed in this paper and offers a multi-source information fusion algorithm based on a fuzzy partial order relationship. The trick to achieving information fusion is to make all the elements comparable. First, to get the good or bad order of the subjects being assessed and the most important details, we will convert the existing fuzzy partial order into complete order, in addition to obtaining a new framework. Second, we're getting knowledge fusion algorithms. Finally, using an example, we test the feasibility and efficiency of the algorithms.

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