• Interval valued intuitionistic fuzzy z extensions of AHP&CODAS: Comparison of energy storage alternatives 

  Sarı, İrem Uçal; Sergi, Duygu (Springer, 2023)

  Energy storage technologies are receiving increasing attention due to the trend toward renewable energy sources. Energy storage systems are a promising technology as they provide the low carbon emissions needed in the ...

• Evaluation of learning management systems using interval valued intuitionistic fuzzy-z numbers 

  Sergi, Duygu; Ucal Sarı, İrem (Anadolu Üniversitesi, 2023)

  The use of online education tools has increased rapidly with the transition to distance education caused by the pandemic. The obligation to carry out all activities of face-to-face education online made it very important ...

• Dialogue enhancement using kernel additive modelling 

  Kırbız, Serap; Liutkus, A.; Cemgil, A. Taylan (Institute of Electrical and Electronics Engineers Inc., 2015)

  It is a major problem for the sound engineers to find the right balance between the dialogue signals and the ambient sources. This problem also makes one of the main causes of the audience concerns. The audience wants to ...

• A Decomposition Algorithm for Single and Multiobjective Integrated Market Selection and Production Planning 

  van den Heuvel, Wilco; Ağralı, Semra; Taşkın, Z. Caner (Informs, 2023)

  We study an integrated market selection and production planning problem. There is a set of markets with deterministic demand, and each market has a certain revenue that is obtained if the market's demand is satisfied ...

• MixCycle: Unsupervised Speech Separation via Cyclic Mixture Permutation Invariant Training 

  Karamatlı, Ertuğ; Kırbız, Serap (IEEE, 2022)

  We introduce two unsupervised source separation methods, which involve self-supervised training from single-channel two-source speech mixtures. Our first method, mixture permutation invariant training (MixPIT), enables ...

• Predicting cash holdings using supervised machine learning algorithms 

  Özlem, Şirin; Tan, Ömer Faruk (Springer, 2022)

  This study predicts the cash holdings policy of Turkish firms, given the 20 selected features with machine learning algorithm methods. 211 listed firms in the Borsa Istanbul are analyzed over the period between 2006 and ...

• Extension of capital budgeting techniques using interval-valued Fermatean fuzzy sets 

  Sergi, Duygu; Sarı, İrem Uçal; Senapati, Tapan (IOS Press, 2022)

  Capital budgeting requires dealing with high uncertainty from the unknown characteristics of cash flow, interest rate, and study period forecasts for future periods. Many fuzzy extensions of capital budgeting techniques ...

• A lot-sizing problem in deliberated and controlled co-production systems 

  Pamuk, Bahadır; Ağralı, Semra; Taşkın, Z. Caner; Kabakulak, Banu (Taylor and Francis, 2021)

  We consider an uncapacitated lot sizing problem in co-production systems, in which it is possible to produce multiple items simultaneously in a single production run. Each product has a deterministic demand to be satisfied ...

• Customer segmentation using RFM analysis: Real case application on a fuel company 

  Ucal Sarı, İrem; Sergi, Duygu; Ozkan, Burcu (Emerald Publishing Limited., 2020)

  Customer segmentation is an important research area that helps organizations to improve their services according to customer needs. With the increased information that shows customer attitudes, it is much easier and also ...

• Analysis of intelligent software implementations in air cargo using fermatean fuzzy CODAS method 

  Sarı, İrem Ucal; Kuchta, Dorota; Sergi, Duygu (Springer, 2022)

  The chapter focuses on the problem of analyzing and selecting intelligent software in Air Cargo in the concept of Aviation 4.0. First, the notions, problems and challenges linked to air cargo are discussed. Recent developments, ...

• Müşteri hizmetleri bölümünde süreç analizi ve stratejik planlama- lastik sektöründe bir uygulama 

  Sarı, İrem Ucal; Sergi, Duygu; Özuduruk, Semih Faruk (Eskişehir Teknik Üniversitesi, 2020)

  Bu çalışma kapsamında, bir işletmenin süreç analizinin yapılması ve sonrasında işletme stratejisinin oluşturulması için gerekli analiz ve stratejik yönetim modelleri incelenmiştir. Daha sonra, işletme geneli için incelenen ...

• Selection of the best face recognition system for check in and boarding services 

  Kuchta, Dorota; Sergi, Duygu; Ucal Sarı, İrem (Springer, 2022)

  Check-in and boarding services are one of the most human oriented pre-flight services in aviation industry. The process of using face recognition systems increase with the aviation 4.0 concept, decreases need for manpower ...

• Branch-and-price-and-cut methods for the electric vehicle routing problem with time windows 

  Duman, Ece Naz; Taş, Duygu; Çatay, Bülent (Taylor and Francis, 2021)

  In this paper, we address the electric vehicle routing problem with time windows and propose two branch-and-price-and-cut methods based on a column generation algorithm. One is an exact algorithm whereas the other is a ...

• Determining and evaluating new store locations using remote sensing and machine learning 

  Höke, Berkan; Turgay, Zeynep Zerrin; Ünsalan, Cem; Küçükaydın, Hande (Tübitak, 2021)

  Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the ...

• Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS 

  Sergi, Duygu; Ucal Sarı, İrem (Springer, 2021)

  In this paper, public services are analyzed for implementations of Industry 4.0 tools to satisfy citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP and fuzzy Z-WASPAS are used ...

• Analysis of a new business model to fundraise non-governmental organizations using fuzzy cognitive maps 

  Ucal Sari, Irema; Sergi, Duygu; Aytore, Can (IOS Press, 2020)

  Fundraising is one of the most critical issues for non-governmental organizations (NGOs) to carry out their projects. In this paper, a search engine project which aims to find additional financial sources and increase ...

• Büyük ölçekli etki enbüyükleme problemi için lagrange gevşetmesi tabanlı etkin bir çözüm yöntemi 

  Güney, Evren (AKÜ FEMÜBİD, 2020)

  Etki Enbüyükleme Problemi (EEP) büyük bir sosyal ağ içindeki en etkin K tane kişiyi seçen zor bir stokastik kombinatoryal eniyileme problemidir. Son yıllarda pek çok araştırmacının ilgisini çeken bu problem için çok sayıda ...

• Fuzzy capital budgeting using fermatean fuzzy sets 

  Sergi, Duygu; Sarı, İrem Ucal (Springer, 2021)

  Investment projects are mostly evaluated by capital budgeting techniques to measure their profitability. The parameters used in capital budgeting such as future cash flows, interest rate and useful life involves high ...

• Large-scale influence maximization via maximal covering location 

  Güney, Evren; Leitner, Markus; Ruthmair, Mario; Sinnl, Markus (Elsevier, 2020)

  Influence maximization aims at identifying a limited set of key individuals in a (social) network which spreads information based on some propagation model and maximizes the number of individuals reached. We show that ...

• Gradual covering location problem with multi-type facilities considering customer preferences 

  Küçükaydın, Hande; Aras, Necati (Elsevier, 2020)

  In this paper, we address a discrete facility location problem where a retailer aims at locating new facilities with possibly different characteristics. Customers visit the facilities based on their preferences which are ...

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