Classification of raw cow milk using information fusion framework

Çevik Proje Yönetiminde Scrum Takımlarının Başarı Sınıflandırmasına Yönelik Bir ÇKKV Modeli: AHS Bütünleşik TOPSIS-Sort-B

“…Polat ve ark. [31] tarafından VIKOR-sort yöntemi çiğ inek sütünün kalite sınıflandırmasında kullanılmıştır. Ocampo…”

“…Aytekin ve Gündoğdu [30], TOPSIS-sort-B versiyonuyla OECD ve AB üyesi ülkelerin sürdürülebilir yönetişim düzeylerine göre sınıflandırmasını yapmışlardır. Aytekin [31], TOPSIS-sort-C versiyonuyla ise, yirmi yedi ulusal sermayeli büyük şirketi etkinlik, performans ve farklılık açılarından sınıflandırmıştır. Görüldüğü gibi, literatürdeki çalışmaların son iki senede yoğunluk kazandığı ve yöntemin daha fazla gerçek hayat uygulamasına ihtiyaç duyduğu görülmektedir.…”

ARASsort: A new sorting based multiple attribute decision‐making algorithm

“…VIKORsort algorithm was developed and applied by Demir et al (2018). Also, Ocampo and Yamagishi (2021) applied VIKORsort algorithm in sorting touristic sites for perceived COVID‐19 exposure; Sabbagh et al (2021) hybridized the Best Worst Method and VIKORsort for classifying the risks of implementing blockchain in a drug supply chain; Polat et al (2021) analysed raw cow milk classification problem with VIKORsort. Interested readers can find the steps of VIKORsort algorithm and its details in mentioned papers.…”

“…All methods have their own assumption, characteristics, paradigm, and perspective. Outranking methods such as PROMSORT (Araz & Ozkarahan, 2005) and Flowsort (Nemery & Lamboray, 2008) which are based on PROMETHEE, require that the decision‐maker defines preference functions for each attribute and also indifference and preference thresholds. Distance‐based approaches which are extensions of compensatory methods such as TOPSISsort (de Lima Silva et al, 2020; De Lima Silva & de Almeida Filho, 2020; Ocampo et al, 2021; Sabokbar et al, 2016; Yamagishi & Ocampo, 2022) and VIKORsort (Demir et al, 2018; Ocampo & Yamagishi, 2021; Polat et al, 2021; Sabbagh et al, 2021) need to determine positive and negative ideal solutions and measure the distance between each alternative and these ideals. Pairwise comparison‐based approaches relying on subjective judgments of the decision‐makers, need to build a hierarchy showing the relations between attributes and/or alternatives and too many survey questions should be answered by the experts, such as AHPsort (Ishizaka et al, 2012; Toledo et al, 2019), AHPsort II (Labella et al, 2020; Miccoli & Ishizaka, 2017; Xie et al, 2019), some fuzzy AHP sorting methods (Du et al, 2021; Ishizaka et al, 2020; Krejci & Ishizaka, 2018; Xu et al, 2019), and group AHPsort (Assumma et al, 2021; Labella et al, 2021; Lopez & Ishizaka, 2017). …”

“…• Distance-based approaches which are extensions of compensatory methods such as TOPSISsort Sabokbar et al, 2016;Yamagishi & Ocampo, 2022) and VIKORsort (Demir et al, 2018;Polat et al, 2021;Sabbagh et al, 2021) need to determine positive and negative ideal solutions and measure the distance between each alternative and these ideals.…”