  Decision-making methods very often use the technique of comparing
alternatives in pairs. In this approach, experts are asked to compare different
options, and then a quantitative ranking is created from the results obtained.
It is commonly believed that experts (decision-makers) are honest in their
judgments. In our work, we consider a scenario in which experts are vulnerable
to bribery. For this purpose, we define a framework that allows us to determine
the intended manipulation and present three algorithms for achieving the
intended goal. Analyzing these algorithms may provide clues to help defend
against such attacks.
