Decision-Making Method That Prioritizes User Ranking by Using Intuitionistic Fuzzy Soft Set

Yıl 2025, Cilt: 15 Sayı: 2, 764 - 786, 15.06.2025

Gözde Yaylalı Umul

https://doi.org/10.31466/kfbd.1618462

Öz

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.

Anahtar Kelimeler

Fuzzy set , Fuzzy soft set , Intuitionistic fuzzy soft set , Decision making

Sezgisel Bulanık Esnek Küme Kullanarak Kullanıcı Sıralamasını Önceliklendiren Karar Verme Yöntemi

Öz

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.

Anahtar Kelimeler

Bulanık küme , Bulanık esnek küme , Sezgisel bulanık esnek küme , Karar verme

Kaynakça

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