Abstract
Distinction has to be made between the continuous and the discrete cases. All continuous cases will provide at least one solution.
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Notes Part 4 Chapter 1
Efficiency in MOUT should not be confused with efficiency in cost-effectiveness analysis, where it means “with a minimum of costs” (see therefore: Part III, 2.2).
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Some, however, will also call it goal programming if the Lexicographic Method is deternined as a function of the deviations of a goal. E.g., D. Giokas, M. Vassiloglou, A goal programming model for bank assets and liabilities management, European Journal of Operational Research, vol.50, No1, 1991, 48–60. Steuer develops a similar approach and calls it “preemptive goal programming”. R.E.Steuer, Multiple Criteria Optimization: Theory, Computation and Application, Krieger, Malabar (Fla., U.S.), 1989,292.
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Brauers, W.K. (2004). Reference Point Theory as a Solution for Multiobjective Utility. In: Optimization Methods for a Stakeholder Society. Nonconvex Optimization and Its Applications, vol 73. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9178-2_12
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