MCDA methods provide springs and techniques to find a solution and have the distinction of putting the decision maker at the center of the process....

MCDA methods provide springs and techniques to find a solution and have the distinction of putting the decision maker at the center of the process. They are not automatable methods that lead to the same solution for all decision makers, but they have incorporated subjective information. In this context, subjective information, also known as preference information, is provided by the decision maker that leads to compromise in the solution. MCDA was developed to solve problems with multiple criteria, which are they:


A) Hiding response options, Ordering, Goal Programming, Description, DEA
B) Goal Programming, TOPSIS, MAUT
C) Choice, Classification, Goal Programming, MAUT
D) Choice, Classification, Ordering, Description
E) MAUT, TOPSIS