OPTIMIZATION AND DECISION MAKING STAGES FOR ANALYSIS OF DUAL RESPONSE PROBLEM: MEDIAN-MAD, NSGA-II, TOPSIS

Year 2019, Volume: 20 Issue: 4, 458 - 473, 30.12.2019

Özlem Türkşen , Ahmet Kocatürk , Gözde Karakoç

https://doi.org/10.18038/estubtda.515702

Abstract

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.

Keywords

Replicated response measures, Dual response problem, Robust statistics, Multiobjective optimization, Multi-criteria decision making

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