Journals / Gazi University Journal of Science / 2021 / Cilt: 34 - Sayı: 2

Selecting the Best Normalization Technique for ROV Method: Towards a Real Life Application

Pages
592–609
Publication Date
2021-06-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Another importance of this study is the first testing the suitability of different normalization techniques for the ROV method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Normalization is one of the stages that have an impact on the results of MCDM problems.
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Key Findings & Data:Choosing the right normalization technique leads the decision maker to the right results.
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Conclusion & Impact:Another importance of this study is the first testing the suitability of different normalization techniques for the ROV method.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:MCDM · Range of Value (ROV) method · Normalization

Abstract

Normalization is one of the stages that have an impact on the results of MCDM problems. Choosing the right normalization technique leads the decision maker to the right results. Accordingly, the purpose of this study is to determine the most appropriate normalization technique for the ROV method. In this study, a real case is analyzed, eight different normalization methods are compared with each other on the basis of a multi-stage framework. The findings show that the model used in this study can be successfully applied in the selection of normalization technique. This study provides a decision support and reference for the selection of nomalization technique for MCDM methods in terms of the framework used. Another importance of this study is the first testing the suitability of different normalization techniques for the ROV method.

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Cite This Article

ERSOY, N. (2021). Selecting the Best Normalization Technique for ROV Method: Towards a Real Life Application. Gazi University Journal of Science, Cilt: 34 - Sayı: 2, 592–609. https://ajindex.com/articles/254367

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