Kriter Ağırlıklandırma Yöntemlerinin ÇKKV Sonuçları Üzerindeki Etkisine Yönelik Gerçek Bir Hayat Uygulaması

Abstract

Bu çalışmada objektif kriter ağırlıklandırma yöntemlerinden Entropy, Criteria Importance Through Intercriteria Correlation (CRITIC), Eşit ağırlık, MEthod based on the Removal Effects of Criteria (MEREC), Standart sapma ve Integrated Data Oriented Weighting System (IDDWS) yaklaşımları kullanılarak, bahsi geçen altı farklı tekniğin Simple Additive Weighting (SAW) Çok Kriterli Karar Verme (ÇKKV) yöntem sonuçları üzerindeki etkisinin incelenmesi amaçlanmıştır. Gerçek bir hayat uygulamasının ele alındığı bu çalışmada, Zorlu Enerji firmasının 2016-2020 dönem aralığı finansal performansının çalışmada önerilen model yardımıyla ölçülmesi amaçlanmıştır. Çalışma sonunda, Entropy, CRITIC, MEREC, Eşit ağırlık, Standart Sapma, IDDWS temelinde SAW yöntemiyle elde edilen sıralama sonuçlarının birbiriyle aynı olduğu tespit edilmiştir. Veri setine yeni alternatifler eklenerek elde edilen sonuçlara göre ise kriter ağırlıklarının sıralama sonuçları üzerinde farklı etkiye sahip olduğu tespit edilmiştir. Bilindiği kadarıyla çalışmada kullanılan teknikler daha önce bir arada kullanılmamıştır. Bu açıdan çalışmanın literatürdeki boşluğu dolduracağı ve literatüre katkı sunacağı düşünülmektedir.

Keywords

• ÇKKV
• Objektif Ağırlık
• Finansal Performans Analizi
• Karşılaştırmalı Analiz
• SAW

A Real-Life Application of the Effect of Criterion Weighting Methods on MCDM Results

Abstract

This study aimed to examine the effects of six different techniques on simple additive weighting (SAW) Multiple Criteria Decision Making (MCDM) method results by using Entropy, Criteria Importance Through Intercriteria Correlation (CRITIC), Equal weight, MEthod based on the Removal Effects of Criteria (MEREC), Standard deviation and Integrated Data Oriented Weighting System (IDDWS) approaches, which are objective criteria weighting methods. In this study, which includes a real life application, it is aimed to measure the financial performance of Zorlu Energy Company for the period of 2016-2020 using the proposed model in the study. It was concluded that the ranking results obtained by the SAW method on the basis of Entropy, CRITIC, MEREC, Equal weight, standard deviation technique, IDDWS are the same. According to the results obtained by adding new alternatives to the data set, it was observed that the criteria weights had a different effect on the ranking results. As far as is known, the techniques used in the study have not been used together before, in this respect, it is thought that the study will fill the gap in the literature and contribute to the literature.

Keywords

• MCDM
• Objective Weight
• Financial Performance Analysis
• Comparative Analysis
• SAW

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