International Journal of Machine Learning and Computing, 2021
The increased credit card defaulters have forced the companies to think carefully before the appr... more The increased credit card defaulters have forced the companies to think carefully before the approval of credit applications. Credit card companies usually use their judgment to determine whether a credit card should be issued to the customer satisfying certain criteria. Some machine learning algorithms have also been used to support the decision. The main objective of this paper is to build a deep learning model based on the UCI (University of California, Irvine) data sets, which can support the credit card approval decision. Secondly, the performance of the built model is compared with the other two traditional machine learning algorithms: logistic regression (LR) and support vector machine (SVM). Our results show that the overall performance of our deep learning model is slightly better than that of the other two models.
Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2005Thesis (PhD) -- İstan... more Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2005Thesis (PhD) -- İstanbul Technical University, Institute of Science and Technology, 2005Bu tezde, zor çizelgeleme problemleri arasında yer alan atölye tipi çizelgeleme problemlerinin çözümünde alternatif yeni bir yaklaşım ele alınmıştır. Çözüm yöntemi olarak, son yıllarda hızla gelişen popülasyon temelli yeni sezgisel yöntemlerden biri olan Parçacık Sürü Optimizasyonu (PSO) kullanılmıştır. Bu tezde, ilk olarak atölye tipi çizelgeleme problemleri için PSO ve Genetik Algoritma (GA) modeli tasarlanmış ve tamamlanma zamanı (makespan) başarım ölçütüne göre literatürde yer alan test problemleri üzerindeki performansları incelenmiştir. Daha sonra PSO ve GA modellerinin sonuçları % 5, % 1 ve ‰ 5 anlamlılık düzeylerinde istatistiksel olarak karşılaştırılıp incelenmiştir. Sonuçta, PSO modeli ile GA modelinin birbirine yakın performans gösterdiği, bazı zor problemlerde ise PSO modelinin GA modeline göre daha iyi sonuç ...
Fuzzy Analytic Hierarchy Based Approach for Supplier Selection Selim Zaim Mehmet Sevkli Mehves Ta... more Fuzzy Analytic Hierarchy Based Approach for Supplier Selection Selim Zaim Mehmet Sevkli Mehves Tarim SUMMARY. For solving the problem of complex multi-criteria deci-sion-making for supplier selection the fuzzy analytic hierarchy process (FAHP) approach is proposed. ...
PurposeThis paper aims to propose a new approach called “analytical hierarchy process weighted fu... more PurposeThis paper aims to propose a new approach called “analytical hierarchy process weighted fuzzy linear programming model (AHP‐FLP)” for supplier selection.Design/methodology/approachA hybrid method of supplier selection, AHP‐FLP is applied to a real industry case. The weights of the various criteria, taken as local weights from a given judgment matrix, are calculated using analytical hierarchy process (AHP) that are also considered as the weights of the fuzzy linear programming model. This new model is compared with the classical AHP method.FindingsThis study concluded that the AHP‐FLP method outperforms the AHP method for supplier selection with respect to restricted supplier selection criteria. Drawing on a real case, Supplier 1 was identified to be the best supplier through the AHP model under no restrictions, which contradicts the finding that Supplier 2 was selected as the best supplier by the AHP‐FLP model subject to constraints.Research limitations/implicationsMore resea...
Page 1. IJCI Proceedings of Intl. XII. Turkish Symposium on Artificial Intelligence and Neural Ne... more Page 1. IJCI Proceedings of Intl. XII. Turkish Symposium on Artificial Intelligence and Neural Networks, Vol.1, No.1, July 2003 327 A NEW METHOD FOR NOISE REDUCTION BASED ON MODE FILTER ALGORITHM Özgür Uysal1 ...
In this paper, we present a model that is developed for production of vacuum cleaners which are m... more In this paper, we present a model that is developed for production of vacuum cleaners which are made by Fanset Electrical Household Utensil Manufacturing Inc. Simulation is used as a tool for modeling purpose in order to determine the bottlenecks and increase the productivity of the system in a shorter time. By means of this model, we analyze the current manufacturing system, determine the problems in the facility, and then develop alternative models resulting with better solutions. The goal is to aid to the design of the manufacturing system that will allow producing in a shorter time period by eliminating the bottlenecks and decreasing the redundant time consumption during material handling. Three scenarios have been developed to improve the current model by relocating the existing layout of the plant, decreasing the number of workers and changing the job content of some workers. The result of this investigation shows that the desired production rate can be achieved in a shorter t...
Abstract. This paper employs Quality Function Deployment (QFD) methodology to translate customer ... more Abstract. This paper employs Quality Function Deployment (QFD) methodology to translate customer needs and requirements into the quality characteristics to improve quality for an existing product to develop a new consumer product. The traditional quality function deployment technique consists of six steps. The purpose of the first step is to measure the voice of the customer that reveals his/her needs and wants using a questionnaire form and a face-to-face interview with sufficient number of customers to do an appropriate observation. The questionnaire is applied to both the observed firm and other competitor firms so as to figure out, through customers ’ competitive evaluation, the rate of importance of the customers’ complaints. After determining necessary technical requirements by experts and employers with the brainstorming and other quality control tools, the fourth step provides the relationship between technical characteristics and customer needs. The following step points ou...
Sinav cizelgeleme problemi akademik ortamlarda karsilasilan en populer problemlerden biridir. Bu ... more Sinav cizelgeleme problemi akademik ortamlarda karsilasilan en populer problemlerden biridir. Bu cizelgelemeler elle yapilabilmekte, dolayisiyla og- rencinin ayni zamanda veya ayni gunde iki veya daha fazla sinavi olmasi gibi cesitli problemler ortaya cikabilmektedir. Bununla birlikte siniflarin kapasitesi, gozetmen sayisi gibi kisitlardan da bahsedilebilir. Bu calismada ogretim uye- lerinin ve ogrencilerin istekleri goz onunde bulundurularak sinav cizelgeleme problemi cozulmeye calisilmistir. Bu probleme cozum uretmek icin yeni bir matematiksel model olusturulmustur. Bu matematiksel model buyuk verilere sahip problemleri kisa zamanda cozemedigi icin matematiksel modellemeye dayali yeni sezgisel yontem gelistirilmistir. Bu arastirmada Xpress-MP adli ya- zilim kullanilmis ve gelistirilen sezgisel yontem Fatih Universitesi verilerine uy- gulanmistir.
Populasyon temelli sezgisel yontemlerden biri olan Parcacik Suru Optimizasyonu (PSO), kus ve bali... more Populasyon temelli sezgisel yontemlerden biri olan Parcacik Suru Optimizasyonu (PSO), kus ve balik surulerinin sosyal davranislarindan etkilenerek gelistirilen yeni bir eniyileme yontemidir. Bu makalede, zor cizelgeleme problemleri arasinda yer alan Atolye Tipi Cizelgeleme problemlerinin cozumu icin, bir PSO modeli, Degisken Komsuluk Arama yontemi ile birlikte gelistirilmistir. Olusturulan bu model, tamamlanma zamani performans olcutune gore literaturde yer alan bazi zor test problemleri uzerindeki sonuclari incelenmis ve iyi sonuclar veren diger sezgisel yontemlerin sonuclariyla karsilastirilmistir. Sonucta genel olarak onerilen modelin diger yontemlere gore daha iyi veya esdeger seviyede oldugu gorulmustur. Anahtar Kelimeler: Atolye tipi cizelgeleme, parcacik suru optimizasyonu, sezgiseller.
International Journal of Machine Learning and Computing, 2021
The increased credit card defaulters have forced the companies to think carefully before the appr... more The increased credit card defaulters have forced the companies to think carefully before the approval of credit applications. Credit card companies usually use their judgment to determine whether a credit card should be issued to the customer satisfying certain criteria. Some machine learning algorithms have also been used to support the decision. The main objective of this paper is to build a deep learning model based on the UCI (University of California, Irvine) data sets, which can support the credit card approval decision. Secondly, the performance of the built model is compared with the other two traditional machine learning algorithms: logistic regression (LR) and support vector machine (SVM). Our results show that the overall performance of our deep learning model is slightly better than that of the other two models.
Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2005Thesis (PhD) -- İstan... more Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2005Thesis (PhD) -- İstanbul Technical University, Institute of Science and Technology, 2005Bu tezde, zor çizelgeleme problemleri arasında yer alan atölye tipi çizelgeleme problemlerinin çözümünde alternatif yeni bir yaklaşım ele alınmıştır. Çözüm yöntemi olarak, son yıllarda hızla gelişen popülasyon temelli yeni sezgisel yöntemlerden biri olan Parçacık Sürü Optimizasyonu (PSO) kullanılmıştır. Bu tezde, ilk olarak atölye tipi çizelgeleme problemleri için PSO ve Genetik Algoritma (GA) modeli tasarlanmış ve tamamlanma zamanı (makespan) başarım ölçütüne göre literatürde yer alan test problemleri üzerindeki performansları incelenmiştir. Daha sonra PSO ve GA modellerinin sonuçları % 5, % 1 ve ‰ 5 anlamlılık düzeylerinde istatistiksel olarak karşılaştırılıp incelenmiştir. Sonuçta, PSO modeli ile GA modelinin birbirine yakın performans gösterdiği, bazı zor problemlerde ise PSO modelinin GA modeline göre daha iyi sonuç ...
Fuzzy Analytic Hierarchy Based Approach for Supplier Selection Selim Zaim Mehmet Sevkli Mehves Ta... more Fuzzy Analytic Hierarchy Based Approach for Supplier Selection Selim Zaim Mehmet Sevkli Mehves Tarim SUMMARY. For solving the problem of complex multi-criteria deci-sion-making for supplier selection the fuzzy analytic hierarchy process (FAHP) approach is proposed. ...
PurposeThis paper aims to propose a new approach called “analytical hierarchy process weighted fu... more PurposeThis paper aims to propose a new approach called “analytical hierarchy process weighted fuzzy linear programming model (AHP‐FLP)” for supplier selection.Design/methodology/approachA hybrid method of supplier selection, AHP‐FLP is applied to a real industry case. The weights of the various criteria, taken as local weights from a given judgment matrix, are calculated using analytical hierarchy process (AHP) that are also considered as the weights of the fuzzy linear programming model. This new model is compared with the classical AHP method.FindingsThis study concluded that the AHP‐FLP method outperforms the AHP method for supplier selection with respect to restricted supplier selection criteria. Drawing on a real case, Supplier 1 was identified to be the best supplier through the AHP model under no restrictions, which contradicts the finding that Supplier 2 was selected as the best supplier by the AHP‐FLP model subject to constraints.Research limitations/implicationsMore resea...
Page 1. IJCI Proceedings of Intl. XII. Turkish Symposium on Artificial Intelligence and Neural Ne... more Page 1. IJCI Proceedings of Intl. XII. Turkish Symposium on Artificial Intelligence and Neural Networks, Vol.1, No.1, July 2003 327 A NEW METHOD FOR NOISE REDUCTION BASED ON MODE FILTER ALGORITHM Özgür Uysal1 ...
In this paper, we present a model that is developed for production of vacuum cleaners which are m... more In this paper, we present a model that is developed for production of vacuum cleaners which are made by Fanset Electrical Household Utensil Manufacturing Inc. Simulation is used as a tool for modeling purpose in order to determine the bottlenecks and increase the productivity of the system in a shorter time. By means of this model, we analyze the current manufacturing system, determine the problems in the facility, and then develop alternative models resulting with better solutions. The goal is to aid to the design of the manufacturing system that will allow producing in a shorter time period by eliminating the bottlenecks and decreasing the redundant time consumption during material handling. Three scenarios have been developed to improve the current model by relocating the existing layout of the plant, decreasing the number of workers and changing the job content of some workers. The result of this investigation shows that the desired production rate can be achieved in a shorter t...
Abstract. This paper employs Quality Function Deployment (QFD) methodology to translate customer ... more Abstract. This paper employs Quality Function Deployment (QFD) methodology to translate customer needs and requirements into the quality characteristics to improve quality for an existing product to develop a new consumer product. The traditional quality function deployment technique consists of six steps. The purpose of the first step is to measure the voice of the customer that reveals his/her needs and wants using a questionnaire form and a face-to-face interview with sufficient number of customers to do an appropriate observation. The questionnaire is applied to both the observed firm and other competitor firms so as to figure out, through customers ’ competitive evaluation, the rate of importance of the customers’ complaints. After determining necessary technical requirements by experts and employers with the brainstorming and other quality control tools, the fourth step provides the relationship between technical characteristics and customer needs. The following step points ou...
Sinav cizelgeleme problemi akademik ortamlarda karsilasilan en populer problemlerden biridir. Bu ... more Sinav cizelgeleme problemi akademik ortamlarda karsilasilan en populer problemlerden biridir. Bu cizelgelemeler elle yapilabilmekte, dolayisiyla og- rencinin ayni zamanda veya ayni gunde iki veya daha fazla sinavi olmasi gibi cesitli problemler ortaya cikabilmektedir. Bununla birlikte siniflarin kapasitesi, gozetmen sayisi gibi kisitlardan da bahsedilebilir. Bu calismada ogretim uye- lerinin ve ogrencilerin istekleri goz onunde bulundurularak sinav cizelgeleme problemi cozulmeye calisilmistir. Bu probleme cozum uretmek icin yeni bir matematiksel model olusturulmustur. Bu matematiksel model buyuk verilere sahip problemleri kisa zamanda cozemedigi icin matematiksel modellemeye dayali yeni sezgisel yontem gelistirilmistir. Bu arastirmada Xpress-MP adli ya- zilim kullanilmis ve gelistirilen sezgisel yontem Fatih Universitesi verilerine uy- gulanmistir.
Populasyon temelli sezgisel yontemlerden biri olan Parcacik Suru Optimizasyonu (PSO), kus ve bali... more Populasyon temelli sezgisel yontemlerden biri olan Parcacik Suru Optimizasyonu (PSO), kus ve balik surulerinin sosyal davranislarindan etkilenerek gelistirilen yeni bir eniyileme yontemidir. Bu makalede, zor cizelgeleme problemleri arasinda yer alan Atolye Tipi Cizelgeleme problemlerinin cozumu icin, bir PSO modeli, Degisken Komsuluk Arama yontemi ile birlikte gelistirilmistir. Olusturulan bu model, tamamlanma zamani performans olcutune gore literaturde yer alan bazi zor test problemleri uzerindeki sonuclari incelenmis ve iyi sonuclar veren diger sezgisel yontemlerin sonuclariyla karsilastirilmistir. Sonucta genel olarak onerilen modelin diger yontemlere gore daha iyi veya esdeger seviyede oldugu gorulmustur. Anahtar Kelimeler: Atolye tipi cizelgeleme, parcacik suru optimizasyonu, sezgiseller.
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