COCOSO YÖNTEMİ İÇİN NORMALİZASYON PROSEDÜRLERİ: FARKLI SENARYOLAR ALTINDA KARŞILAŞTIRMALI BİR ANALİZ

Karar matrisinin oluşturulmasının ardından ÇKKV yöntemlerinde ilk adım normalizasyon işlemidir. Normalizasyon ÇKKV yöntemlerinde en önemli süreçlerden biridir ve ÇKKV sıralama sonuçları üzerinde etkilidir. Bu nedenle karar problemlerinde uygun normalizasyon tekniğinin seçilmesi çok önemlidir. Bu çalışma, normalizasyon tekniklerinin farklı senaryolar altında CoCoSo yöntemi sonuçları üzerindeki etkisini ortaya koymayı ve uygun bir normalizasyon tekniğini seçmeyi amaçlamaktadır. Çalışma sonunda, N3, N4 ve N6 normalizasyon tekniklerinin CoCoSo yönteminin kendi algoritmasında bulunan max min normalizasyon tekniğine alternatif olarak kullanılabileceği tespit edilmiştir. Ayrıca N1 ve N2 normalizasyon tekniklerinin CoCoSo yöntemi için uygun olmadığı tespit edilmiştir. Bu çalışmada farklı normalizasyon tekniklerinin CoCoSo yöntemine uygunluğu ilk kez test edilmiştir.

NORMALIZATION PROCEDURES FOR COCOSO METHOD: A COMPARATIVE ANALYSIS UNDER DIFFERENT SCENARIOS

Following the creation of the decision matrix, the first step in MCDM methods is the normalization process. Normalization is one of the most important processes in MCDM methods, and it has an effect on MCDM ranking results. Therefore, choosing the appropriate normalization technique is very important in decision problems. This study aims to reveal the effect of normalization techniques on CoCoSo method results under different scenarios and select a suitable normalization technique. The study determined that N3, N4 and N6 normalization techniques can be used as alternatives to the max min normalization technique in the algorithm of the CoCoSo method. It was also determined that N1 and N2 normalization techniques are not suitable for the CoCoSo method. In this study, the suitability of different normalization techniques for the CoCoSo method was tested for the first time.

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