  The Heuristic Ratio Estimation (HRE) approach proposes a new way of using the
pairwise comparisons matrix. It allows the assumption that the weights of some
alternatives (herein referred to as concepts) are known and fixed, hence the
weight vector needs to be estimated only for the other unknown values. The main
purpose of this paper is to extend the previously proposed iterative HRE
algorithm and present all the heuristics that create a generalized approach.
Theoretical considerations are accompanied by a few numerical examples
demonstrating how the selected heuristics can be used in practice.
