| Resumen |
"Recently, using confusion, we computed the centroid (“consensus value”) and the inconsistency of a set (a bag, in fact) of qualitative assertions about the same property or variable (say, John’s pet), reported by several observers.
A bag of dissimilar assertions will have a large inconsistency, which could diminish if the problem at hand allows several centroids to be selected. John could have two pets, and the inconsistency of these two “consensus values” with all observations will be much better (much smaller): one part of the observers will feel little discomfort with one of the centroids; the remaining part will feel little discomfort with the second centroid. This chapter finds the set of centroids of a bag of qualitative values that minimizes the inconsistency of the bag; that is, the total discomfort of all members of the bag will be smallest. These centroids define clusters of the bag.
All observers are equally credible, so differences in their findings arise from perception errors." |
