Tütüncü, Gözde Yazgı

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Tütüncü, G.Y.
Tutuncu, G. Yazgi
Aşçı, Gözde Yazgı Tütüncü
Tuetuencue, G. Yazgi
Tütüncü Aşçı, Gözde Yazgı
Tutuncu, Gozde Yazgi
Tutuncu, G.Y.
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Email Address
yazgi.tutuncu@ieu.edu.tr
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02.02. Mathematics
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Sustainable Development Goals

11

SUSTAINABLE CITIES AND COMMUNITIES
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0

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4

QUALITY EDUCATION
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1

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8

DECENT WORK AND ECONOMIC GROWTH
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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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2

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15

LIFE ON LAND
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6

CLEAN WATER AND SANITATION
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1

NO POVERTY
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7

AFFORDABLE AND CLEAN ENERGY
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10

REDUCED INEQUALITIES
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14

LIFE BELOW WATER
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2

ZERO HUNGER
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13

CLIMATE ACTION
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5

GENDER EQUALITY
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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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17

PARTNERSHIPS FOR THE GOALS
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3

GOOD HEALTH AND WELL-BEING
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Documents

26

Citations

340

h-index

11

Documents

23

Citations

216

Scholarly Output

37

Articles

18

Views / Downloads

95/199

Supervised MSc Theses

4

Supervised PhD Theses

4

WoS Citation Count

243

Scopus Citation Count

314

WoS h-index

10

Scopus h-index

10

Patents

0

Projects

1

WoS Citations per Publication

6.57

Scopus Citations per Publication

8.49

Open Access Source

15

Supervised Theses

8

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JournalCount
Journal of Computatıonal And Applıed Mathematıcs2
4Th Annual Euromed Conference of the Euromed Academy of Busıness: Busıness Research Challenges in A Turbulent Era1
Acta Physiologica1
Advances in Computatıonal Intellıgence, Mıcaı 2016, Pt I1
Advances in Productıon Management Systems: Innovatıve And Knowledge-Based Productıon Management in A Global-Local World, Pt 11
Current Page: 1 / 6

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Scholarly Output Search Results

Now showing 1 - 10 of 37
  • Conference Object
    Citation - Scopus: 1
    Drivers for Rfid Implementations
    (Springer Verlag, 2010) Goethals F.G.; Tütüncü, Gözde Yazgı; Lin C.-Y.
    This workshop paper studies drivers for RFID (Radio Frequency IDentification) adoption. The research in progress reported here puts forward several types of mindless and mindful decision making drivers. Hypotheses are tested using a questionnaire that was answered by 122 Chinese companies. The promise to reach higher efficiency seems to be the most important driver for mindful RFID adoption decisions. The early implementers were more driven to adoption by the promise of higher efficiency, better supply chain monitoring and better collaboration than late implementers. Tests show that mindless decision making shows up in RFID adoption. © 2010 Springer-Verlag Berlin Heidelberg.
  • Master Thesis
    A Cost Effectiveness Analysis To Compare Mastectomy Versus Lumpectomy Using a Fuzzy Approach
    (İzmir Ekonomi Üniversitesi, 2015) Aktaş, Aysun; Tütüncü, Gözde Yazgı
    Meme kanseri çoğu ülkede en yaygın olan kanser türüdür. Meme kanserinin tedavisi birçok faktöre bağlıdır. Erken evre meme kanseri hastaları belirli şartlar altında meme dokusunun çıkarılması (mastektomi) ya da meme koruyucu cerrahi (lumpektomi) yöntemlerinden birini seçebilir. Lumpektomi ve sonrasında uygulanan ışın tedavisi ile mastektominin sağ kalım oranları eşittir fakat hastaların duygusal, sosyal ve fiziksel hallerini etkileyen yaşam kaliteleri arasında önemli bir fark vardır. Bu çalışmanın amacı Mastektomi ve Lumpektomi operasyonlarını hastaların operasyon sonrası tedavilerini, tedavi maliyetlerini ve hastaların memnuniyetini dikkate alarak maliyet etkinlik analizi ile değerlendirmektir. Ameliyat sonrasında hastaların klinik geçmişini özetleyen bir karar ağacı oluşturulmuştur. Modeli tanımlarken geçiş olasılıkları ve yaşam kaliteleri kullanılmıştır. Maliyetlerin ve sağlık durumunun zamana bağlı değişkenliği sebebiyle düzensiz verileri değerlendirmek için güçlü bir karar aracı olan bulanık küme maliyet etkinlik oranı önerilmiştir. Gerekli veriler hastane kayıtlarından, TUIK veri tabanından ve yazılı kaynaklardan elde edilmiştir.
  • Article
    Citation - WoS: 29
    Citation - Scopus: 36
    A Visual Interactive Approach To Classical and Mixed Vehicle Routing Problems With Backhauls
    (Pergamon-Elsevier Science Ltd, 2009) Tütüncü, Gözde Yazgı; Carreto, Carlos A. C.; Baker, Barrie M.
    In this paper a new visual interactive approach for the classical vehicle routing problem with backhauls (VRPB) and its extensions is presented. The classical VRPB is the problem of designing minimum cost routes from a single depot to two type customers that are known as Backhaul (pickup) and Linehaul (delivery) customers where deliveries after pickups are not allowed. The mixed VRPB is an extension of the classical VRPB where deliveries after pickups are allowed. A decision support system (DSS) is developed in order to solve the classical VRPB, mixed VRPB and the restricted VRPB, which is a compromise problem between the classical VRPB, and the mixed VRPB. And a new criterion, which considers the remaining capacity of the vehicles, is proposed for producing solutions for mixed and restricted VRPB. The visual interactive approach that is based on Greedy Randomised Adaptive Memory Programming Search (GRAMPS) is described, and experimental results for the VRPB benchmark test problems are presented and analysed. The computational results on VRPB benchmark test problems indicated that the new criterion and the proposed visual interactive approach are effective towards finding a compromise between the mixed or restricted and the classical VRPB problems. The developed DSS is used by 18 students and reported to be capable of producing high quality solutions for the VRPB. (C) 2006 Elsevier Ltd. All rights reserved.
  • Article
    High Prevalence of Developmental Coordination Disorder Risk in Childhood Apraxia of Speech
    (Wiley, 2025) Tukel, Sermin; Baker, Emma K.; Tutuncu, G. Yazgi; O'Donnell, Lorraine; Lauretta, Mariana; Brenchley, Celia; Morgan, Angela T.
    Aim To explore motor impairments linked to developmental coordination disorder (DCD) in children with childhood apraxia of speech (CAS).Method This prospective cohort study included 105 children (79 male, aged 5-15 years) with CAS. Assessments included the Developmental Coordination Disorder Questionnaire, Revised, the visuomotor precision subtest of the Neuropsychological Assessment, Second Edition, the motor subtest of the Vineland Adaptive Behaviour Scales, Third Edition (Vineland-3), and Full-scale IQ (FSIQ) scores. Data analysis used multiple imputation for missing data, along with descriptive statistics, repeated-measures analysis of variance, multiple binary logistic regression, and receiver operating characteristic (ROC) analyses.Results Eighty-two per cent of participants showed motor impairments; 63% screened positive for DCD risk; and 71% had visuomotor precision impairments. Fine-motor scores were lower than gross-motor and coordination scores. The logistic regression model accurately predicted DCD risk at 73%, identifying the Vineland-3 (odds ratio [OR] = 7.17) and visuomotor precision subtest (OR = 4.90) as significant predictors, whereas the FSIQ was not. The Vineland-3 showed a high false negative rate (46%) for DCD risk, and the ROC analysis suggested a higher cut-off point for improved prediction accuracy.Interpretation This study highlights a high prevalence of DCD risk and visuomotor precision impairments among children with CAS, independent of FSIQ. The Vineland-3 motor subtest is not recommended for DCD assessment, whereas screening for DCD is essential for targeted interventions in CAS.
  • Conference Object
    An Evolutionary Algorithm Based on Multidimensional Multiple-Choice Knapsack Model for Resource Allocation Problem in a Construction Equipment Manufacturer
    (International Conference on Information Systems, Logistics and Supply Chain, 2020) Duenas A.; Di Martinelly C.; Aguado J.; Tütüncü Y.
    This paper presents an approach to production resource allocation applied to a real-world problem within the construction equipment manufacturing industry. It shows an original way of determining the outcome manufacturing production problems using existing mathematical modeling techniques combined with evolutionary heuristics. A multidimensional knapsack problem was formulated, the proposed model being based on an evolutionary algorithm using a three-dimensional binary-coded chromosome. Three different selection strategies were applied to evaluate the algorithm's performance and tests were carried out to show the appropriateness of the solutions. The results obtained were of a high quality from the company's perspective. © Interconnected Supply Chains in an Era of Innovation - Proceedings of the 8th International Conference on Information Systems, Logistics and Supply Chain, ILS 2020. All rights reserved.
  • Research Project
    Heterojen Araç Filolu Çok Depolu Araç Rotalama Problemi için Görsel Etkileşimli Sezgisel Çözüm Yöntemleri
    (2016) Tütüncü, Gözde Yazgı
    Araç Rotalama Problemleri (ARP) her birine belli büyüklükteki ve nitelikteki ürün ya da yolcuların araç filosu ile ulaştırılması gereken birçok sayıda müşteri ya da durak içerir. ARP yöneylem araştırması ve yönetim bilimleri disiplinlerinin hem akademik araştırma hem de uygulama açısından en önemli alanlarından birisidir. Gerçek hayatta ARP problemleri temel ARP ?nin ötesinde ek kısıtlar ve zorluklar içermektedir. Bu projede gerçek hayatta çokça rastlanan ve birçok tedarik firması tarafından göz önüne alınıp önemsenen Heterojen Araç- filolu Çok-depolu Araç Rotalama Problemi (HAÇARP) ve HAÇARP ?in yaygın kullanımlı bir versiyonu olan Geri-toplamalı HAÇARP (GHAÇARP) ele alınmıştır. Onaylanan Bütçe: Bu projede öncelikle HAÇARP için yeni sezgisel yöntemler geliştirilmiş, geliştirilen sezgiseller literatürdeki karşılaştırmalı problem örnekleriyle test edilmiş ve gerçek hayat problemlerini çözmek üzere uygulamaya sunulmuştur. Daha sonra GHAÇARP için yeni bir matematiksel model önerilmiş, gerçek hayat problemlerini baz alan yeni problem örnekleri oluşturulmuş veönerilen model kullanılarak bu problemlerin gevşetilmiş çözümleri elde edilmiştir. Buna ek olarak, HAÇARP için geliştirilen yeni sezgisel yöntemler göz önüne alınarak GHAÇARP için de yeni bir sezgisel geliştirilmiş ve önerilen problem örnekleriyle test edilmiş ve gerçek hayat problemlerini çözmek üzere uygulamaya sunulmuştur. Sonuç olarakgünlük hayatta çeşitli firmalarca kullanılabilir, farklı araç rotalama problemlerinin çözümü için uyarlanabilir, görsel etkileşimli ve sezgisel yöntemlere dayalı ve ele alınan problemleri iyi sonuçlarla çözebilen bir Karar Destek Sistemi geliştirilmiştir
  • Conference Object
    Changes in Physiological Parameters During Everest Base Camp Trek
    (Wiley, 2023) Kazdağlı, Hasan; Tükel, Şermin; Tütüncü, Gözde Yazgı
  • Article
    Citation - WoS: 27
    Citation - Scopus: 33
    An Interactive Gramps Algorithm for the Heterogeneous Fixed Fleet Vehicle Routing Problem With and Without Backhauls
    (Elsevier, 2010) Tütüncü, Gözde Yazgı
    In this article, a visual interactive approach based on a new greedy randomised adaptive memory programming search (GRAMPS) algorithm is proposed to solve the heterogeneous fixed fleet vehicle routing problem (HFFVRP) and a new extension of the HFFVRP. which is called heterogeneous fixed fleet vehicle routing problem with backhauls (HFFVRPB). This problem involves two different sets of customers. Backhaul customers are pickup points and linehaul customers are delivery points that are to be serviced from a single depot by a heterogeneous fixed fleet of vehicles, each of which is restricted in the capacity it can carry, with different variable travelling costs. The proposed approach is implemented within a visual decision support system, which was developed to allow users to produce and judge alternative decisions by using their knowledge and experience about the requirements of the HFFVRP. The computational results are provided on classical problem instances for HFFVRP and a new best-known solution has been reported. A new set of problem instances for HFFVRPB is proposed. The results show that the proposed approach can find high quality solutions in very short time and the system is able to create alternative solutions in order to satisfy the user's expectations. (C) 2009 Elsevier B.V. All rights reserved.
  • Article
    Arithmetic Operations on Generalized Pentagonal Fuzzy Numbers
    (American Scientific Publishing Group (ASPG), 2024) Güldürdek, A.; Tütüncü, G.Y.
    Fuzzy concepts have been widely used to treat imprecision in many fields of natural and social sciences. In most of the natural science fields such as applied mathematics, physics, chemistry, and engineering, triangular and trapezoidal fuzzy numbers are commonly used and arithmetic operations on those numbers are studied in detail. On the other hand, in engineering and social science fields such as sociology and psychology, while treating the uncertainties, these numbers are not applicable and fuzzy numbers with more parameters and clear definitions of their arithmetic operations are needed. In order to fill this gap in the literature, in this study we propose the generalized pentagonal fuzzy numbers, and we define fuzzy arithmetic operations based on both extension and the function principle. © 2024, American Scientific Publishing Group (ASPG). All rights reserved.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 10
    A New Local Covariance Matrix Estimation for the Classification of Gene Expression Profiles in High Dimensional Rna-Seq Data
    (Pergamon-Elsevier Science Ltd, 2021) Kochan, Necla; Tütüncü, Gözde Yazgı; Giner, Goknur
    Recent developments in the next-generation sequencing based on RNA-sequencing (RNA-Seq) allow researchers to measure the expression levels of thousands of genes for multiple samples simultaneously. In order to analyze these kinds of data sets, many classification models have been proposed in the literature. Most of the existing classifiers assume that genes are independent; however, this is not a realistic approach for real RNA-Seq classification problems. For this reason, some other classification methods, which incorporates the dependence structure between genes into a model, are proposed. Quantile transformed Quadratic Discriminant Analysis (qtQDA) proposed recently is one of those classifiers, which estimates covariance matrix by Maximum Likelihood Estimator. However, MLE may not reflect the real dependence between genes. For this reason, we propose a new approach based on local dependence function to estimate the covariance matrix to be used in the qtQDA classification model. This new approach assumes the dependencies between genes are locally defined rather than complete dependency. The performances of qtQDA classifier based on two different covariance matrix estimates are compared over two real RNA-Seq data sets, in terms of classification error rates. The results show that using local dependence function approach yields a better estimate of covariance matrix and increases the performance of qtQDA classifier.