407 results for “Decision Support Systems”
Research Article
Open Access Investigation of the Performance of Classification Methods in Hepatitis Decision Support Systems
Sema Güzel, Güzel S, Ahmet Alkan, Alkan A
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
In addition to developing information technologies, medical decision support systems are used to make decisions more effective,
faster, more accurate and easier to make decisions in medicine and healthcare. With data mining, which is an important part of
med…
Research Article
Open Access Multi Criteria Decision Making Based Model For Supplier Selection
M. Fatih Ak, Ak M
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Supplier selection and measurement of supplier performance are multiple criteria decision making (MCDM) problems and have a strategic importance for all industries. Supplier performance measures is a tool to determine whether suppliers are doing their job as e…
Research Article
Open Access Development of Machine Learning-Based Sales Cancellation/Return Forecasting Models for the E-Commerce Industry
Zehra Sude Sarı, Sarı Z, Batuhan Taşkapı, Taşkapı B, Gökay Dağdaş, Dağdaş G, Mehmet Fatih Akay, Akay M
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.5.022
E-commerce is evolving rapidly, creating a more competitive market environment. With this development, gaining a competitive advantage has become even more crucial. Companies implement various strategic moves to maintain their position in this competitive mark…
Research Article
Open Access Agricultural Productivity and Planning Problem of Turkey: MultiCriteria Decision Making Based Risk Analysis Model of Turkish Agriculture
M. Fatih Ak, Ak M
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
People has learned and has been developing agriculture for years. The surrounding land has become the best way to
use as a result of years of observations. Over the centuries, cities have grown significantly and observable changes in land usage
come up with …
Research Article
Open Access Improving Computational Performance of Least Squares Multiple Birth Support Vector Machines with k-Means Clustering
Güvenç Arslan, Arslan G, Nisa Nur Bülbül, Bülbül N
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.010
Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…
Research Article
Open Access Internet of Things and Agricultural Applications
Ali Çaylı, Çaylı A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
The increasing world population has increased the demand for food. Many threats such as agricultural land use, environmental impacts, global warming and drought risks necessitate industrialization of agricultural production and optimum utilization of existing …
Research Article
Open Access Determination of Dimensions in Wooden Reel Production: A Decision Support Model
Erkan Sami Kökten, Kökten E, Çağrı Sel, Sel Ç
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Wooden reels are wood-based products used in products requiring winding up such as cable, rope, plastic hose. Wooden reels are usually produced in diameters ranging from 40 to 320 cm and mostly from Turkish red pine (Pinus brutia) and black pine (Pinus nigra) …
Research Article
Open Access Improving Hyperspectral Image Classification with Watershed Segmentation-Based Texture Features
Çiğdem Şerifoğlu Yılmaz, Şerifoğlu Yılmaz Ç, Volkan Yılmaz, Yılmaz V, Oğuz Güngör, Güngör O
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral
bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by
integrat…
Research Article
Open Access Quantum-Ready Intelligent Digital Systems for Open Finance: Integrating Post-Quantum Security and Evidence-Gated Quantum Computing
Ashwini Kumar Rath, Rath A
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.8.001
Open-finance services must prepare for cryptographic transitions while evaluating quantum-computing opportunities against classical alternatives. These decisions require different evidence but concern shared data, software, suppliers, and owners. This paper de…
Research Article
Open Access An Application of Similarity Measure of Intuitionistic Fuzzy Soft Set based on Distance in Speech Emotion Recognition
Beyza Esin Özseven, Esin Özseven B, Naim Çağman, Çağman N, Turgut Özseven, Özseven T
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In this study, we first introduced intuitionistic fuzzy soft sets and similarity measures of two intuitionistic fuzzy soft
sets. We then construct a decision making method for the speech emotion recognition problem based on the similarity measure
of intuitio…
Research Article
Open Access Karar Ağacı Algoritmalarıyla Öğrencilerin Akademik Performans Verilerinin Sınıflandırılması
Büşra Duygu, Duygu B, Nursal Arıcı, Arıcı N
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Eğitim sektörünün giderek büyüyen yapısında, yükseköğretim kurumları, öğrenci performansının akademik olarak iyileştirilmesi ve öğrencilerin okulu bırakmalarını önlemek için veri madenciliği araçlarını ve tekniklerini kullanmaktadır. Veriler sosyo-ekonomik, de…
Research Article
Open Access Yurtta Barınan Öğrencilerin Ayrılma Sebeplerinin Veri Madenciliği Yöntemleriyle Analiz Edilmesi
Berrin Değirmenci, Değirmenci B, Oktay Yıldız, Yıldız O
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.027
Ülkemizde Üniversite öğrencilerinin büyük bir bölümü öğrenim hayatlarının bir döneminde devlet yurtlarında kalmaktadır. Bu çalışmanın amacı, Kredi ve Yurtlar Genel Müdürlüğü (KYGM)’nde barınan öğrencilerin; yurttan ayrılma sebeplerinin veri madenciliği yönteml…
Research Article
Open Access Analytic Hierarchy Process and Topsis Methods of Construction Site Selection
Seher Arslankaya, Arslankaya S, Ömer Baştürk, Baştürk Ö
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.067
Decision making is a mental process in which one of the different options is chosen. All decision-making processes end with a decision. In this thesis, site selection for a new project was examined. Investments requiring very high budgets, such as the construc…
Research Article
Open Access Kompleks Değerli Yapay Sinir Ağları ile Kardiotokogram Verisinde Morfolojik Örüntü Sınıflandırma
Eda Çapa Kızıltaş , Çapa Kızıltaş E, Ayşenur Uzun , Uzun A, Ersen Yılmaz , Yılmaz E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…
Research Article
Open Access Karar Ağaçları ile Otistik Spektrum Bozukluğu Tanısı Koyma
Büşra DUYGU , DUYGU B, Merve KOCAOĞLU , KOCAOĞLU M, Aysun COŞKUN , COŞKUN A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Çalışmamız; sosyal etkileşim, tekrarlayan davranışlar, kısıtlı ilgi alanları ve iletişim sorunu olarak ortaya çıkan ve ömür boyu devam eden bir gelişim bozukluğu olan Otizmin erken tanısı üzerine gerçekleştirilmiştir. Karar ağacı algoritmaları ile Otistik Spek…
Research Article
Open Access Third-Party Logistics Provider Selection By Using AHP and CODAS Methods
Alptekin Ulutaş, Ulutaş A
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.006
Companies would like to gain a competitive advantage in today's world where global competition is intense by focusing on their main activities. Therefore, most of the companies use outsourcing for their logistics activities. Third-party logistics providers are…
Research Article
Open Access Student Graduation Prediction with Data Mining: Amasya University Distance Education Application and Research Center Sample
Osman Kayhan, Kayhan O, Yavuz Ünal, Ünal Y, Ahmet Sağlam, Sağlam A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Correct orientation of students during education is very crucial for preventing future failures. Students who cannot graduate at the time may cause negative impacts on the family and the country's economy as well as the decrease of the young labor force. This …
Research Article
Open Access Otel Çalışanlarının Sahip Oldukları Ruminatif Düşünce Tarzı ve Örgütsel Dışlanmalarının İşten Ayrılma Niyetleri Üzerine Etkisi
Nuray Türkoğlu, Türkoğlu N, Ali Dalgıç, Dalgıç A
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Otel işletmelerinde hizmet alan ve verenin insan olmasından dolayı etkin iletişim ve etkileşim önemlidir. Otel
çalışanlarının kaliteli hizmet sunabilmeleri için psikolojik açıdan iyi oluş halleri önemli unsurlardan birisidir. Çalışanların
hizmet odaklı çalış…
Research Article
Open Access Fine-Tuning Models Comparisons on Garbage Classification for Recyclability
Umut Özkaya, Özkaya U, Levent Seyfi, Seyfi L
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to
provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes
on differen…
Research Article
Open Access XAI-Powered Comparative Diabetes Prediction with XGBoost, SVM and Artificial Neural Networks
Furkan Sefa Demirci, Demirci F, Remzi Yıldırım, Yıldırım R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.30.001
In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …