The
purpose of this study is to obtain a proper set of input variables for
replicated response measured data set by applying dual response strategy in
robust framework with multi-objective perspective. The replicated response
measures were transformed to dual response by using robust statistics, median (MED) and median absolute deviation (MAD), instead of mean-standard deviation
statistics which were very commonly used in many existing studies. A compromise
solution of proposed robust dual response model was obtained via a
multi-criteria decision making approach since the optimization was achieved in
multi-objective point of view. In this study, well-known two methods, NSGA-II
and TOPSIS, were preferred for optimization and decision making stages,
respectively. Quality of printing ink data set was used an application from the
literature. It is seen from the analysis results that the performance of the
proposed robust dual response model was encouraging with the most satisfactory
input settings.
Replicated response measures Dual response problem Robust statistics Multiobjective optimization Multi-criteria decision making
Primary Language | English |
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Journal Section | Articles |
Authors | |
Publication Date | December 30, 2019 |
Published in Issue | Year 2019 |