Browsing by Author "Ekinci, Yeliz"
Now showing items 1-11 of 11
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An additive FAHP based sentence score function for text summarization
Güran, Aysun; Uysal, Mitat; Ekinci, Yeliz; Güran, Celal Barkan (Kaunas University of Technology, 2017)This study proposes a novel additive Fuzzy Analytical Hierarchy Process (FAHP) based sentence score function for Automatic Text Summarization (ATS), which is a method to handle growing amounts of textual data. ATS aims to ... -
The application of UHF passive RFID technology for the effectiveness of retail consumer goods supply chain management
Ekinci, Yeliz; Ekinci, Ülker; Günaydın, Ulaş (IEEE, 2009)In this research, the application of radio frequency identification (RFID) technology, which is the technology used for tracking objects using radio waves with the help of a reader, an antenna and a chip, is investigated ... -
The application of UHF passive RFID technology for the effectiveness of retail/consumer goods supply chain management
Ekinci, Yeliz; Ekinci, Ülker; Günaydın, Ulaş (IEEE, 2007-09)In this research, the application of radio frequency identification (RFID) technology, which is the technology used for tracking objects using radio waves with the help of a reader, an antenna and a chip, is investigated ... -
Comparing alternative classifiers for database marketing: the case of imbalanced datasets
Duman, Ekrem; Ekinci, Yeliz; Tanrıverdi, Aydın (Elsevier, 2012-01)There are various algorithms used for binary classification where the cases are classified into one of two non-overlapping classes. The area under the receiver operating characteristic (ROC) curve is the most widely used ... -
Demand assignment: a DEA and goal programming approach
Ekinci, Yeliz (WSEAS Press, 2007-12-29)Assignment problem has always been a popular problem for production and operations research. There have been developed many methods and heuristics for these kinds of problems. This research deals with the problem of an ... -
Determinants and use of customer lifetime value: the case of turkish banking industry
Ekinci, Yeliz; Uray, Nimet; Ülengin, Füsun (IMDA, 2011-07-03)It is widely accepted that customers differ substantially across industries and countries. Therefore, it is crucial to translate such differences to the models used for measuring Customer Lifetime Values (CLV). An important ... -
A dynamic pricing model for a maritime transportation service provider
Uğurlu, Seda; Çoşgun, Özlem; Ekinci, Yeliz (Taylor & Francis, 2012)In this study, the dynamic pricing optimization problem faced by the maritime transportation service provider company is considered. The aim is to find optimal prices for each journey for each level of unsold seats by using ... -
Ekonomik kriz döneminde firma başarısı tahmini: yapay sinir ağları tabanlı bir yaklaşım
Ekinci, Yeliz; Temur, Gül T.; Çelebi, Dilay; Bayraktar, Demet (TMMOB Makina Mühendisleri Odası, 2010)Bu çalışmanın amacı, ekonomik kriz dönemlerinde firma başarısının tahmin edilebilmesi için yapay sinir ağları (YSA) tabanlı bir yöntem önerisi sunmaktır. Yazında firmaların kriz dönemlerini başarı ile atlatabilmeleri ... -
Evaluation of economic indicators of EU countries by DEA
Ekinci, Yeliz (WSEAS Press, 2007-12-29)One of the most important unions in the world with the power of directing the world economy is the European Union (EU), which has 27 members by the year 2007. Starting with 6 members in 1957, the EU expanded with new ... -
Fuzzy rule-based demand forecasting for dynamic pricing
Coşgun, Özlem; Ekinci, Yeliz; Uğurlu, Seda Yanık (World Scientific, 2012)In this study, the pricing problem of a transportation service provider company is considered. Our goal is to find optimal prices by using probabilistic dynamic programming. A fuzzy rule-based expert system is used to ... -
Using customer lifetime value to plan optimal promotions
Ekinci, Yeliz; Ülengin, Füsun; Uray, Nimet (Taylor & Francis, 2014-01-25)The purpose of this study is to develop a methodology to guide managers in determining the optimal promotion campaigns to be directed towards different market segments in order to maximize the value of customers. For the ...
