Çoklu Üyelik Değerlerinin İşlendiği Belirsizlik Ortamlarına Yönelik Sanal Bulanık Parametreli Esnek Kümeler Üzerine Dayanan Yeni Bir Yaklaşım

Year 2026, Volume: 30 Issue: 1 , 158 - 167 , 24.04.2026

Orhan Dalkılıç

https://doi.org/10.19113/sdufenbed.1799868

https://izlik.org/JA46NT92LX

Abstract

İnsanların ihtiyaçlarının artmaya ve çeşitlenmeye başladığı günümüzde birçok yeni belirsizlik ortamında veri işlemeye yönelik ihtiyaçlarda meydana gelmiştir. Bu belirsizlik ortamlarından biri de birden fazla üyelik değerinin işlenmesi gerektiği karar verme süreçleridir. Bu amaca yönelik yapılandırılan sanal bulanık parametreli esnek kümelere odaklanan bu çalışmada yeni bir karar verme algoritması önerilmiştir. Bu algoritmada karmaşık veri analizinde oluşabilecek olası hataların önüne geçmek için bazı yalın temsiller verilmiştir. Ardından, parametre önem ağırlıkları da dikkate alınarak daha iyi bir yaklaşım inşa edilmeye çalışılmıştır. Ayrıca, bu algoritmik yaklaşım sayesinde parametre önem ağırlıklarının nesneler üzerindeki etkisi farklı bulanık değerler için değerlendirilebilir. Bunlara ilaveten, inşa edilen algoritmanın en önemli avantajı karşılaşılan belirsizlik ortamı için en ideal sanal bulanık parametreli esnek kümenin tespitine yönelik adımların mevcudiyetidir. Son olarak önerilen algoritma için elde edilen sonuçlar irdelenerek bir tartışmaya yer verilmiştir.

Keywords

Sanal bulanık parametreli esnek küme , Parametre önem ağırlıkları , Algoritma , Karar verme.

A Novel Approach Based on Virtual Fuzzy Parameterized Soft Sets for Uncertainty Environments Where Multiple Membership Values are Processed

https://izlik.org/JA46NT92LX

Abstract

Today, when people's needs have begun to increase and diversify, the need for data processing has occurred in many new uncertainties. One of these uncertain environments is the decision-making process where more than one membership value must be processed. In this paper, which focuses on virtual fuzzy parameterized soft sets structured for this purpose, a new decision-making algorithm is proposed. In this algorithm, some simple representations are given to avoid possible errors that may occur in complex data analysis. Then, a better approach has been tried to be built by taking into account the parameter importance weights. In addition, thanks to this algorithmic approach, the effect of parameter importance weights on objects can be evaluated for different fuzzy values. Moreover, the most important advantage of the constructed algorithm is the availability of steps to determine the most ideal virtual fuzzy parameterized soft set for the uncertainty environment encountered. Finally, the results obtained for the proposed algorithm are examined and a discussion is given.

Keywords

Virtual fuzzy parameterized soft set , Parameter importance weights , Algorithm , Decision making

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