Quantified adaptive fusion has the advantage:

• of using conjunctive fusion as often as possible (the most adapted to our problem) (as long as a consensus among at least part of the sources can be found). When a total conflict occurs between all the sources, disjunctive fusion, the only applicable method, is used. However, with a great number of sources, it becomes difficult to have all the sources, in conflict, at the same time.
  
  
• of managing properly the conflict, avoiding to use often disjunctive fusion;
  
  
• of having a rather reasonable execution time (the operators used (min and max) are inexpensive)

On the other hand, this operator has the following defaults:

• its complexity in because of the calculation of the degree of consensus h between sources;
• its instability when the possibility distributions have a very weak intersection or are very close without having intersection;
  
  
• it is not associative: the order of fusion of sources is significant if fusion is performed by group of two sources at the same time, and this can be avoided by performing the fusion of all the sources as a whole.