Tversky's Model of Similarity-Based Confusion Suggests That Such Confusion Between

Multiple Choice

Tversky's model of similarity-based confusion suggests that such confusion between two stimuli or messages is most accurately predicted by an increase in:

A) the number of shared elements
B) the number of different elements
C) the ratio of different to total features
D) the ratio of shared to total features