Raport Badawczy = Research Report ; RB/60/2012

Bibliografia s. 26-27

[2], 27 stron ; 21 cm

[2], 27 pages ; 21 cm

Bibliography p. 26-27

This paper focuses on robustness testing, that is, checking whether a design has actually resulted in robust properties of the system if some of basic assumptions are changed. It has been shown that robustness is a property of the relation between three (classes of) models: a basic model of the decision (design) situation, a second model of possible perturbations of the first model, and a third model of the decision (design) implementation, optionally taking into account some measurements of the impact of perturbations. Typical approaches to robustness or sensitivity analysis assume tacitly that the first two models can be combined, and thus analyze parameters deviations in such combined model. However, the role of the first two models can be asymmetric if optimization of the decision is performed on the first model. This framework, originally intended for single criteria (scalar) optimizationhas been extended to multiple criteria (vector) optimization. The proposed approach is illustrated by diverse examples.