TY  - JOUR
T1  - Decision-Making Method That Prioritizes User Ranking by Using Intuitionistic Fuzzy Soft Set
TT  - Sezgisel Bulanık Esnek Küme Kullanarak Kullanıcı Sıralamasını Önceliklendiren Karar Verme Yöntemi
AU  - Yaylalı Umul, Gözde
PY  - 2025
DA  - June
Y2  - 2025
DO  - 10.31466/kfbd.1618462
JF  - Karadeniz Fen Bilimleri Dergisi
JO  - KFBD
PB  - Giresun Üniversitesi
WT  - DergiPark
SN  - 2564-7377
SP  - 764
EP  - 786
VL  - 15
IS  - 2
LA  - en
AB  - Decision-making holds significant importance in real life applications. To manage uncertainties in practical applications, soft sets, fuzzy sets and fuzzy soft sets are commonly used nowadays. Also, the effectiveness of intuitionistic fuzzy soft sets has been highlighted in numerous studies. In daily life, considering users priorities in decisions always affects the decision, for this reason, user priority ranking is important in a decision-making algorithm. This study aims to address decision-making problems by using fuzzy soft set (FSS) and intuitionistic fuzzy soft set (IFSS) frameworks. A key distinction of this work is its consideration of user priority rankings, which are integrated into the decision-making algorithms. This paper introduces two algorithms for decision-making: first one based on fuzzy soft sets and the second one based on intuitionistic fuzzy soft sets. Both approaches enable a user to select an object from a group of multi-attribute objects by considering priority ranking of the user for the attributes, thereby identifying the most suitable choice.
KW  - Fuzzy set
KW  - Fuzzy soft set
KW  - Intuitionistic fuzzy soft set
KW  - Decision making
N2  - Karar verme, gerçek yaşam uygulamalarında önemli bir yere sahiptir. Pratik uygulamalarda belirsizlikleri yönetmek için günümüzde esnek kümeler, bulanık kümeler ve bulanık esnek kümeler yaygın olarak kullanılmaktadır. Ayrıca sezgisel bulanık esnek kümelerin etkinliği çok sayıda çalışmada vurgulanmıştır. Günlük yaşamda, kararlarda kullanıcıların önceliklerini dikkate almak her zaman kararı etkiler, bu nedenle bir karar verme algoritmasında kullanıcı öncelik sıralaması önemli bir yere sahiptir. Bu çalışma, bulanık esnek küme (FSS) ve sezgisel bulanık esnek küme (IFSS) çerçevelerini kullanarak karar verme problemlerini ele almayı amaçlamaktadır. Bu çalışmanın temel farkı, karar verme algoritmalarına entegre edilen kullanıcı öncelik sıralamalarını dikkate almasıdır. Bu makale karar verme için iki algoritma tanıtmaktadır: birincisi bulanık esnek kümelere dayalı ve ikincisi sezgisel bulanık esnek kümelere dayalıdır. Her iki yaklaşım da kullanıcının nitelikler için öncelik sıralamasını dikkate alarak çok nitelikli nesnelerden oluşan bir gruptan bir nesne seçmesini ve böylece en uygun seçeneği belirlemesini sağlar.
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UR  - https://doi.org/10.31466/kfbd.1618462
L1  - https://dergipark.org.tr/tr/download/article-file/4514982
ER  -