OPTIMIZATION AND DECISION MAKING STAGES FOR ANALYSIS OF DUAL RESPONSE PROBLEM: MEDIAN-MAD, NSGA-II, TOPSIS
| Autor: | Özlem Türkşen, Gözde Karakoç, Ahmet Kocatürk |
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| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Fen Computer science Science Robust statistics TOPSIS General Medicine Multi-objective optimization Set (abstract data type) Data set Replicated response measures Dual response problem Robust statistics Multiobjective optimization Multi-criteria decision making Deviation Point (geometry) Median absolute deviation |
| Zdroj: | Volume: 20, Issue: 4 458-473 Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering |
| ISSN: | 2667-4211 |
| DOI: | 10.18038/estubtda.515702 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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