Beyond preference information based multiple criteria decision making

The aim of the paper is twofold. First, it shows the increasing irrelevance of preference information, as the number of criteria becomes moderately large. This phenomenon can be called the Principle of Increasing Irrelevance of Preference Information. Secondly, a rather large class of interactive MCDM methods is presented, which are mainly based on the use of nonpreference information, processed by specially developed clustering algorithms. An initial restricted version of these methods has previously been suggested by the author.