document: Search for efficient solutions of multi-criterion problems by target-level method The target-level method is considered for solving continuous multi-criterion maximization problems . In the first step , the decision-maker specifies a target-level point -LRB- the desired criterion values -RRB- ; then in the set of vector evaluations we seek points that are closest to the target point in the Chebyshev metric . The vector evaluations obtained in this way are in general weakly efficient . To identify the efficient evaluations , the second step maximizes the sum of the criteria on the set generated in step 1 . We prove the relationship between the evaluations and decisions obtained by the proposed procedure , on the one hand , and the efficient -LRB- weakly efficient -RRB- evaluations and decisions , on the other hand . If the Edgeworth-Pareto hull of the set of vector evaluations is convex , the set of efficient vector evaluations can be approximated by the proposed method
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