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Recognizing this fact, the concept of robustness has been attracted and robust procedures have been developed to cover this fact.
Using this notation, the concept of minmax-robust efficiency can be redefined as a concept of robustness in the sense of set optimization in the following way.
Furthermore, the authors present solution algorithms for calculating minmax-robust efficient solutions, one of which is closely connected to the concept of robustness presented by Kuroiwa and Lee [17].
First, we discuss the concept of robustness in tactical production planning and how we intend to approach it.
The concept of robustness has important ramifications for design practice and is totally in sync with recent developments in indoor environmental research.
Because the principal usefulness of any system metric is to inform decisions about the design of that system, we turn to rigorous decision theory for guidance on how to deal with the concept of robustness.
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Replacing the set order relation implicitly used in the definition of minmax-robust efficiency, Ide and Köbis [29] presented various other concepts of robustness for multi-objective optimization, derived by replacing the upper-type set relation with another set ordering from the literature.
Although the two concepts of robustness and stability can be related, they are not the same.
Furthermore, we derive new concepts of robustness for multi-objective optimization problems.
We will use these set relations to introduce several concepts of robustness.
Several other concepts of robustness were introduced more recently, e.g. the concept of light robustness by Fischetti and Monaci [6] or the concept of recovery-robustness in Liebchen et al. [7], for a unified approach, see [8].
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