Then, it calculates the similarity degree between the obtained preference vector of each decision maker and the obtained group preference vector of all decision makers.
The resulting auto-associative models are excited with a preference vector containing a favorable composition of design features.
The column matrix containing all number ones may be replaced by an arbitrary (positive) preference vector, v as required.
Then, it gets the numerical preference order of the alternatives with respect to each decision maker represented by a preference vector.
For reference, Table 5 shows the cosine distance from a preference vector representing a certain country to all other preference vectors representing the other countries.
To do that, we compare the results of our methodology with GII using the cultural gender preference vector, (G_{r}), for a country r considered in this study.
In this paper, we focus on a setting with a central entity that provides services based on clustering of multiple users, each one having a private preference vector.
For the optimization of clusters' searching, it is used a preference vector that flags affinity propagation with M-N points that are the possible best candidates to be the lithological classes representatives.
Then, it calculates the aggregated group evaluating value of each alternative with respect to all decision makers to get the numerical preference order of the alternatives with respect to all decision makers represented by a group preference vector.
Besides that, there might be more accurate methods than the Gini coefficient to generate the cultural gender preference vector, other metrics could also be tested aiming to improve the comparison results.
A priori preference articulation methods – like utility functions – convert a multi-objective optimization problem into a single-objective one, but its effectiveness highly depends on an well-chosen preference vector.
