2020
DOI: 10.21597/jist.644794
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Çok Kriterli Karar Verme Üzerine Dayalı Yamuksal Bulanık Çoklu Sayıların Yeni Bir Benzerlik Fonksiyonu

Abstract: Bu çalışmanın temel amacı, çok kriterli karar vermeye dayalı yamuksal bulanık çoklu sayıları üzerinde yeni bir yöntem sunmaktır. Bu nedenle, yamuksal bulanık çoklu sayıların geliştirilmesi için yamuksal bulanık çoklu sayılar üzerine yeni bir benzerlik fonksiyonu, ağırlıklı yeni bir benzerlik fonksiyonu tanımlanmış ve bu benzerlik fonksiyonlarının temel özellikleri incelenmiştir. Buna ek olarak, sunulan yöntemin pratikliğini ve doğruluğunu teyit etmek için metot sayısal bir örneğe uygulanmaktadır.

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Cited by 12 publications
(18 citation statements)
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References 30 publications
(4 reference statements)
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“…To this end, an approach for calculating appropriate risk avoidance coefficients for different MCDM problems with LIVIFNs would be developed to improve the proposed method. Further, extensions of three-way decision model to solve trapezoidal fuzzy decision-making problem (Uluçay et al 2018;Uluçay 2020), intuitionistic trapezoidal fuzzy decision-making problem (Uluçay et al 2019;, consensus based group decision-making problem (Zhang et al 2021d;Gao and Zhang 2021), and two sided matching decision-making problem (Zhang et al 2021b, c) would also be studied.…”
Section: Discussionmentioning
confidence: 99%
“…To this end, an approach for calculating appropriate risk avoidance coefficients for different MCDM problems with LIVIFNs would be developed to improve the proposed method. Further, extensions of three-way decision model to solve trapezoidal fuzzy decision-making problem (Uluçay et al 2018;Uluçay 2020), intuitionistic trapezoidal fuzzy decision-making problem (Uluçay et al 2019;, consensus based group decision-making problem (Zhang et al 2021d;Gao and Zhang 2021), and two sided matching decision-making problem (Zhang et al 2021b, c) would also be studied.…”
Section: Discussionmentioning
confidence: 99%
“…In the following, we compare our proposed method with some other methods, including Ulucay [36], Ulucay et al [37] and Sahin et al [24], based on Example 4.2 and Example 4.3.…”
Section: Comparative Studymentioning
confidence: 99%
“…Also, Sahin et al [24] introduced a new multi-criteria decision making by defining dice vector similarity and weighted dice vector similarity measure. Recently, Ulucay [36] defined new concepts of trapezoidal fuzzy multi-numbers such as similarity function and weighted similarity function.…”
Section: Introductionmentioning
confidence: 99%
“…( 2021 ) built a consensus-reaching scheme for group decision making. The author, Bakbak and Ulucay ( 2019 ), Ulucay ( 2020 ) recommended the new similarity measures based on trapezoidal fuzzy multi-numbers, which have been applied to solve the MCDM problems. Thao and Chou ( 2022 ) announced a new similarity measure, the entropy of IFSs, and its use in software quality assessment.…”
Section: Introductionmentioning
confidence: 99%