Explaining the consensus of opinions with the vocabulary of the experts

In a decision making framework experts often use linguistic variables to describe their opinions or preferences. When experts are allowed to use their own set of terms, syntactic and semantic differences in the vocabularies may be found. In this work we propose a method that uses clustering techniques to aggregate data, and which gives the result in terms of the vocabulary of one of the experts, after adapting it in order to better describe the result.