This study demonstrates that incorrect values are entered into  pairwise comparisons matrix for processing . In the current situation, it leads to pairwise comparisons rating scale paradox. A solution  , based on normalization, is proposed  .
This study demonstrates that incorrect data are entered into a pairwise comparisons matrix for processing into weights for the data collected by a rating scale. Unprocessed rating scale data lead to a paradox. A solution to it , based on normalization, is proposed . This is an essential correction for virtually all pairwise comparisons methods using rating scales. The illustration of the relative error currently, taking place, is discussed .
R
values
data
A
a
R
. In the current situation, it leads to pairwise comparisons rating scale
into weights for the data collected by a rating scale. Unprocessed rating scale data lead to a
A
to it
A
. This is an essential correction for virtually all pairwise comparisons methods using rating scales. The illustration of the relative error currently, taking place, is discussed