We have discussed how to aggregate two or more criteria as part of a
geographical objects ranking ( GIS and decision support (4): a tool for aggregating fuzzy criteria
). The method employee requires the criteria be perceived by the decision maker
as being of equal relevance. In this article we will discuss the theoretical
bases to meet the uneven relevance criteria.
To determine the aggregation method to be used across two criteria, we
propose to the user to evaluate three situations:
- The first question (S1) proposes a very poor value for the first criterion and an
excellent value for the second criterion.
- The second question (S2) proposes two average
values for both criteria.
- The third question (S3) proposes an average value for the first criterion and an excellent value for the second .