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This method may be used to solve problems of choice or of multi criteria classification on set A of actions.
It constructs a utility function from a preorder defined by the user on a subset A’ of the reference actions.
The procedure, based on a principle of ordinal regression, consist in solving a small linear program.
The program provides piecewise linear functions of marginal utility that are as compatible as possible with the given preorder.
The user can modify the marginal utility functions within limits given by a sensitivity analysis of the ordinal regression problem.
There is a friendly user interface in which to make these changes.
The utility function given by the user is then used to define a preorder on the set A of actions.


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