Distances and scores are widely used to measure similarity between collections of information, such as preference profiles, belief sets, judgment sets, argument labelings, etc. Defining a function that quantifies the similarity between information sets of logically interrelated information is non- trivial, as witnessed by the shortage of such quantifiers in the literature. We propose a similarity measure for judgment sets that is "sensitive" to logic dependencies among the judgments.
['Marija Slavkovik', 'Thomas Ågotnes']
A judgment set similarity measure based on prime implicants