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GÜNDOĞDU, FATMA KUTLU

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FATMA KUTLU

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    A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets
    (2019-06-03) Kahraman, Cengiz; GÜNDOĞDU, FATMA KUTLU
    All the extensions of ordinary fuzzy sets with three-dimensional membership functions such as intuitionistic fuzzy sets, second type intuitionistic fuzzy sets (or Pythagorean fuzzy sets) and neutrosophic sets aim at defining the judgments of decision makers/ experts with a more detailed description. As a new extension of intuitionistic fuzzy sets of second type, the emerging spherical fuzzy sets (SFS) have been proposed by Kutlu Gundogdu and Kahraman (2019b). In spherical fuzzy sets, the sum of membership, non-membership and hesitancy degrees must satisfy the condition0 <= mu(2) + v(2) + pi(2) <= 1 in which these parameters are assigned independently. SFS is an integration of Pythagorean fuzzy sets and neutrosophic sets. In this paper, novel interval-valued spherical fuzzy sets are introduced with their score and accuracy functions; arithmetic and aggregation operations such as interval-valued spherical fuzzy weighted arithmetic mean operator and interval-valued spherical fuzzy geometric mean operator. Later, interval-valued spherical fuzzy sets are employed in developing the extension of TOPSIS under fuzziness. Then, we use the proposed interval-valued spherical fuzzy TOPSIS method in solving a multiple criteria selection problem among 3D printers to verify the developed approach and to demonstrate its practicality and effectiveness. A comparative analysis with single-valued spherical TOPSIS is also performed.
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    Cross Mark Coordinate Determination and Automatic Registration for Offset Printing
    (2018-08) Kasapoğlu, N. Gökhan; Gergin, Zeynep; Gençyılmaz, Mehmet Güneş; Torbalı, Ayşe Bilge; YÜKSEKTEPE, FADİME ÜNEY; GÜNDOĞDU, FATMA KUTLU; 141772; 30141; 108243; 273471
    Offset printing is the method for producing commercialized printed media as newspapers and magazines. There are various factors contributing to the overall print quality such as; paper, ink pigment penetration, ink water balance, hygiene of environment, air temperature and humidity. Moreover, quality control is still operator dependent process where the operator is responsible for the visual checks of the printed material. One of the major checks applied is the correct registration of the plates in order to have a sharp image. The misregistration check may require more than one iterations creating setup time variation. Consequently, this highly time consuming setup takes considerable amount of time, especially in low circulation amounts. In this study a novel method called Cross Mark Coordinate Determination and Automatic Registration (CMCDR) is proposed for setup time reduction. CMCDR is based on x and y intensity profiles of registration marks and applied in a printing shop for automatic registration. For this purpose a traditional registration cross for overlapped color components (CMYK) as well as one registration cross for each individual color component is used to determine misclassification error. Using x and y intensity profiles of individual color component to determine misregistration errors and corrections of misregistrations are reduced with only one iteration.
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    Spherical Fuzzy Sets and Decision Making Applications
    (2019-07) Kahraman, Cengiz; GÜNDOĞDU, FATMA KUTLU; 273471; 9178
    The extensions of ordinary Fizzy sets such as intuitionistic Fizzy sets (IFS). Pythagorean frizzy sets (PFS). and neutrosophic sets (NS), whose mem­ bership Emotions are based on three dimensions, aim to describe expert's judg­ ments more informatively and explicitly. Introduction of generalized three di­ mensional spherical Fizzy sets (STS) including some essential differences from the other frizzy sets is presented in the literature with their arithmetic, aggrega­ tion. and defrizzfication operations [S]. This study summarizes the previously in­ troduced spherical frizzy sets and as an application spherical frizzy CODAS method will be applied to the warehouse location selection problem.
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    Spherical fuzzy sets and spherical fuzzy TOPSIS method
    (Journal of Intelligent Fuzzy Systems, 2019) Cengiz, Kahraman; GÜNDOĞDU, FATMA KUTLU; 273471
    All the extensions of ordinary fuzzy sets with three dimensional membership functions such as intuitionistic fuzzy sets (IFS), intuitionistic fuzzy sets of second type (IFS2), and neutrosophic fuzzy sets (NFS) aim at defining the judgments of decision makers/ experts with a more detailed description. Introduction of generalized three dimensional spherical fuzzy sets (SFS) including some essential differences from the other fuzzy sets is presented in this paper. The new type of fuzzy sets is based on the spherical fuzzy distances which have been already defined in the literature. Arithmetic operations involving addition, subtraction and multiplication are presented together with their proofs. Aggregation operators, score and accuracy functions are developed. The multi-criteria decision making method TOPSIS is extended to spherical fuzzy TOPSIS and an illustrative example is presented. Additionally, a comparative analysis with intuitionistic fuzzy TOPSIS (IF-TOPSIS) is given.
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    A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection
    (2019) Kahraman, Cengiz; GÜNDOĞDU, FATMA KUTLU
    The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS), whose membership functions are based on three dimensions, aim at collecting experts' judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy sets have been developed by Kutlu Gundogdu and Kahraman (2019), including their arithmetic operations, aggregation operators, and defuzzification operations. Spherical Fuzzy Sets (SFS) are a new extension of Intuitionistic, Pythagorean and Neutrosophic Fuzzy sets, a SFS is characterized by a membership degree, a nonmembership degree, and a hesitancy degree satisfying the condition that their squared sum is equal to or less than one. These sets provide a larger preference domain in 3D space for decision makers (DMs). In this paper, our aim is to extend classical VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to spherical fuzzy VIKOR (SF-VIKOR) method and to show its applicability and validity through an illustrative example and to present a comparative analysis between spherical fuzzy TOPSIS (SF-TOPSIS) and SF-VIKOR. We handle a warehouse location selection problem with four alternatives and four criteria in order to demonstrate the performance of the proposed SF-VIKOR method.
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    Kredili satışlarda kredi riskinin transferi kredi sigortasının ekonomik büyümeye etkisinin irdelenmesi Türkiye Örneği
    (2018-12) Çetiner, Emine Müge; Eke, Selda; GÜNDOĞDU, FATMA KUTLU; 2855
    Bu çalışmanın amacı tedarikçilerin kredili satışlarında karşılaştıkları ticari riskin güvence altına alınmasında bir risk transfer aracı olarak rol oynayan kredi sigortasının ekonomik büyümeye olan etkisini analiz etmektir. Bu analizde, kredi sigortası pazarının gelişimi ile ekonomik büyüme arasındaki nedensellik ilişkisi ampirik veriler üzerinden araştırılmıştır.
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    From 1D to 3D Membership:Sphericalfuzzy Sets
    (2019-09) Kahraman, Cengiz; GÜNDOĞDU, FATMA KUTLU; 273471
    All the extensions of ordinary fuzzy sets with three dimensional membership functions such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic fuzzy sets (NFS) aim at defining the judgments of decision makers/ experts with a more detailed description. Introduction of generalized three dimensional spherical fuzzy sets including some essential differences from the other fuzzy sets is presented in this paper. The new type of fuzzy sets is based on the spherical relations and arithmetic operations involving addition, subtraction and multiplication are presented together with their proofs. Aggregation operators, score and accuracy functions are developed. The multi-criteria decision making method TOPSIS is extended to spherical fuzzy TOPSIS and an illustrative example is presented. A comparative analysis with intuitionistic fuzzy TOPSIS is also given.
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    Spherical fuzzy VIKOR method and Its application to waste management
    (2019-07) Kahraman, Cengiz; Karaşan, Ali; GÜNDOĞDU, FATMA KUTLU; 273471; 9178; 227871
    The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS). Pythagorean fuzzy sets (PFS). and neutrosopliic sets (NS). whose mem­ bership functions are based on three dimensions, aim at collecting experts’ judg­ ments more informatively and explicitly. In the literature, generalized three-di­ mensional spherical fuzzy sets have been developed by Kutlu Güııdogdu and Kahraman [3]. including their arithmetic operations, aggregation operators, and defuzzfication operations. Spherical Fuzzy Sets (SFS) are a new extension of In­ tuitionistic. Pythagorean and Neutrosopliic Fuzzy sets. In this paper, our aim is to employ SF-VIKOR method to waste management problems. We handle a waste disposal site selection problem with five alternatives and four criteria in order to demonstrate the performance of the proposed SF-VIKOR method.
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