Küresel Bulanık EDAS ve Bir Uygulama

İnsan tercihlerindeki belirsizliği ve kesinsizliği temsil etmek amacıyla 1960'larda bulanık kümeler kavramı ortaya atılmış ve daha sonraki süreçte bir çok farklı bulanık küme tanımı geliştirilmiştir. Bu gelişmelerden oldukça yeni bir tanesi olan küresel bulanık kümeler (KBK), karar vericilere kapsamlı bir tercih alanı vererek bu amacı desteklemektedir. KBK'in ayırt edici özelliği, üyelik, üye-olmama ve tereddüt derecelerinin kareler toplamının [0,1] aralığında olması ve her bir unsurun aynı aralık içinde bağımsız olarak tanımlanabilmesidir. Bu çalışma ile, oldukça yeni ancak yazında sıkça kendine yer bulan bir çok ölçütlü karar verme yöntemi olan EDAS (Evaluation Based on Distance from Average Solution – Ortalama Çözüme Olan Uzaklığa Dayalı Değerlendirme), küresel bulanık ortam için uyarlanmaktadır. Entropi tabanlı nesnel ölçüt ağırlıklandırma, daha uzun veri toplama süresi gibi öznel ağırlıklandırma yöntemlerinin dezavantaj yaratan potansiyel etkilerinden kaçınmak için EDAS'ın bu yeni sürümüyle entegre edilmiştir. Önerilen yeni versiyon, eklemeli imalat (additive manufacturing) için bir ürün tasarımı seçme problemi örneğinde uygulanmıştır.

Anahtar Kelimeler:

EDAS, küresel bulanık kümeler, entropi ölçüsü, dilsel değerlendirme

Spherical Fuzzy Version of EDAS and An Application

Several fuzzy set concepts have been developed after the first invention of fuzzy sets in 1960s with the aim of demonstrating the uncertainty and vagueness in human preferences. Spherical fuzzy sets (SFS) as a recent one of these developments support this aim by giving a comprehensive preference domain to decision makers. The distinctive feature of SFS is its rule saying that the squared sum of membership, non-membership, and hesitancy degrees should be within the interval of [0,1] while its each element is independently assigned within the same interval. With this study, EDAS (Evaluation Based on Distance from Average Solution), one of the younger but stronger multiple attribute decision making tools is modified for spherical fuzzy environment. Entropy-based objective attribute weighting is also integrated with this novel version of EDAS to avoid the undesired potential effects of subjective weighting such as longer data collection time. The novel version proposed is applied in an example of a product design selection problem for additive manufacturing.

Keywords:

EDAS, spherical fuzzy sets, entropy measure, linguistic assessment,

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