Hence, we can define a corresponding problem in the decision space.
2.
The MCDM problem can be represented in the criterion space or the decision space.
3.
The decision space corresponds to the set of possible decisions that are available to us.
4.
As yandman notes a wiki could be bounded if the desired decision space requires detailed knowledge, data and expertise.
5.
It is easier to detect the nondominated points ( corresponding to efficient solutions in the decision space ) in the criterion space.
6.
If an MCDM problem represents a decision situation well, then the most preferred solution of a DM has to be an efficient solution in the decision space, and its image is a nondominated point in the criterion space.
7.
Where the \ max represents the decision maker, the \ min represents Nature, namely uncertainty, X represents the decision space and U ( x ) denotes the set of possible values of u associated with decision x.
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