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207 results on '"ERGİNEL, Nihal"'

1. New Product Development Methodology with Using Sustainability Driven QFD and Neutrosophic Sets: A Case Study of the Aircraft Stabilizer

Author

Ayber, Sezen, Erginel, Nihal, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Sari, Irem Ucal, editor, Oztaysi, Basar, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, and Tolga, A. Çağrı, editor

Published
2023
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2. Analyzing Customer Requirements Based on Text Mining via Spherical Fuzzy QFD

Author

Ayber, Sezen, Erginel, Nihal, Ünver, Mustafa, Göksel, Gökhan, Aydın, Ahmet, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Sari, Irem Ucal, editor, Oztaysi, Basar, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, and Tolga, A. Çağrı, editor

Published
2023
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3. A Novel Intuitionistic Fuzzy Grey Model for Forecasting Electricity Consumption

Author

Yörür, Bahadır, Erginel, Nihal, Şentürk, Sevil, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Sari, Irem Ucal, editor, Oztaysi, Basar, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, and Tolga, A. Çağrı, editor

Published
2023
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4. A Neighborhood Merging Policy Based on Shannon’s Entropy and Symmetric Relative Entropy for Non-convex Cluster Detection

Author

Ünver, Mustafa, Erginel, Nihal, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, Oztaysi, Basar, editor, Tolga, A. Cagri, editor, and Sari, Irem Ucal, editor

Published
2022
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5. An Extended QFD Method for Sustainable Production with Using Neutrosophic Sets

Author

Ayber, Sezen, Erginel, Nihal, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, Oztaysi, Basar, editor, Tolga, A. Cagri, editor, and Sari, Irem Ucal, editor

Published
2022
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6. Design Factors for Sustainable University Campus via Interval Type 2 Fuzzy Set

Author

Kaya, Sema Kayapinar, Erginel, Nihal, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, Oztaysi, Basar, editor, Tolga, A. Cagri, editor, and Sari, Irem Ucal, editor

Published
2020
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7. Developing the Neutrosophic Fuzzy FMEA Method as Evaluating Risk Assessment Tool

Author

Ayber, Sezen, Erginel, Nihal, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, Oztaysi, Basar, editor, Tolga, A. Cagri, editor, and Sari, Irem Ucal, editor

Published
2020
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8. Intuitionistic Fuzzy Density Based Spatial Clustering of Applications with Noise: IFDBSCAN

Author

Ünver, Mustafa, Erginel, Nihal, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, Oztaysi, Basar, editor, Tolga, A. Cagri, editor, and Sari, Irem Ucal, editor

Published
2020
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13. Intuitionistic Fuzzy REBA Method and Its Application in a Manufacturing Company

Author

Erginel, Nihal, Toptanci, Sura, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Goossens, Richard H. M., editor

Published
2019
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14. Modeling open vehicle routing problem with real life costs and solving via hybrid civilized genetic algorithm.

Author

TONBUL, Erhan, TAKAN, Melis ALPASLAN, BÜYÜKKÖSE, Gamze TUNA, and ERGİNEL, Nihal

Subjects
VEHICLE routing problem, METAHEURISTIC algorithms, ROUTING algorithms, SEARCH algorithms, STANDARD deviations, VEHICLE models, GENETIC algorithms, CITIES & towns
Abstract

Many companies prefer to use third party logistics firms to deliver their goods and as such planning the return of the vehicles to the depot is not required. This is called open vehicle routing problem (OVRP). In literature, the OVRP is handled with minimum distance as objective function like vehicle routing problem. But in the real world, the objective function achieves minimum many costs like standard routing cost, stopping by cost and the deviation cost. The standard routes are previously defined under free market conditions by third party logistic firms. The deviation from the standard route is required to arrive cities which are not on the standard route. The stop by cost occurs on the delivery points. In this paper mentioned three costs are considered in the objective function while many papers consider only distance related costs in the literature. This paper proposes a new mathematical model for the OVRP. In the constraints, the last points of the routes are researched in detail. The standard route costs are determined by considering the last point of the route. Because of the NP-hard structure of the OVRP, the proposed mathematical model is solved with a hybrid metaheuristic called Civilized Genetic Algorithm (CGA). CGA is developed by hybridizing a modified genetic algorithm and a local search algorithm. The application of this study is implemented for the delivery routing of a combi boiler producer in Turkey. The third party logistic firms may use this proposed model and the solution approach for the real life applications. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Monitoring Fraction Nonconforming in Process with Interval Type-2 Fuzzy Control Chart

Author

Erginel, Nihal, Şentürk, Sevil, Yıldız, Gülay, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Szmidt, Eulalia, editor, Zadrożny, Sławomir, editor, Atanassov, Krassimir T., editor, and Krawczak, Maciej, editor

Published
2018
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16. Estimating Fuzzy Life Time with a Fuzzy Reliability Function in the Appliance Sector

Author

Erginel, Nihal, Saraçoğlu, Hande, Yıldız, Gülay, Şentürk, Sevil, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Szmidt, Eulalia, editor, Zadrożny, Sławomir, editor, Atanassov, Krassimir T., editor, and Krawczak, Maciej, editor

Published
2018
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32. Hava Trafik Kontrolörü Adaylarının Gerçek Zamanlı Simülasyon Senaryolarındaki Hata Sayıları ve Performans Skorlarının İncelenmesi

Author

YAZGAN, Ebru, primary, AYBEK ÇETEK, Fulya, additional, ŞİMŞEK, Deniz, additional, ATA, Nazım, additional, ERGİNEL, Nihal, additional, TUNCER, Seçkin, additional, KARABAYRAK, Barış, additional, AYDIN, Ahmet, additional, DÖNMEZ, Kadir, additional, YILDIZLAR, Çağla, additional, and TOKTAY, Tuğçe, additional

Published
2022
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37. Hava Trafik Kontrolörü Adaylarının Gerçek Zamanlı Simülasyon Senaryolarındaki Hata Sayıları ve Performans Skorlarının İncelenmesi

Author

YAZGAN, Ebru, AYBEK ÇETEK, Fulya, ŞİMŞEK, Deniz, ATA, Nazım, ERGİNEL, Nihal, TUNCER, Seçkin, KARABAYRAK, Barış, AYDIN, Ahmet, DÖNMEZ, Kadir, YILDIZLAR, Çağla, and TOKTAY, Tuğçe

Subjects
Human factors, Air traffic controller, Cognitive workload, Reaction time, Engineering, Mühendislik, İnsan faktörleri, Hava trafik kontrolörü, Bilişsel iş yükü, Reaksiyon süresi
Abstract

In this study, during the exercises in scenarios with four different levels of task difficulty (easy, medium, difficult, very difficult) designed depending on the number of aircraft and airspace structure in real-time simulations, mental workload was carried out on two different groups, who received simulation training and did not receive simulation training (experienced and inexperienced). A two-stage experimental process was carried out for multidimensional examination of mental workloads. In the first stage of the study, the reaction times of the participants before the simulation were evaluated over three different protocols using the FitLight Trainer system. No significant difference was observed between the experienced and inexperienced groups in terms of reaction times. In the second stage, these groups with homogeneous reaction times were compared with each other for the error numbers and performance scores of in real-time simulation scenarios. At the 90% confidence level, the experienced group made fewer mistakes. In addition, the different difficulty levels of the scenarios created a statistical difference in the error numbers. In easy-medium scenarios, students made statistically significantly fewer mistakes than in difficult-very difficult scenarios. Also, the changes of performance scores according to scenario difficulty levels were examined and it was revealed that there was a significant difference between performance scores (p-value=0,00 < 0,05). Students' performance scores were significantly higher in easy-medium scenarios compared to difficult-very difficult scenarios. According to the results of the study, it was seen that the error numbers and performance scores supported each other. It can be said that the difficulty levels of the scenarios have an effect on the cognitive workload (error numbers, performance scores)., Bu çalışmada gerçek zamanlı simülasyonlarda uçak sayısına ve hava sahası yapısına bağlı olarak tasarlanan dört farklı düzeydeki görev zorluğuna (kolay, orta, zor, çok zor) sahip senaryolardaki egzersizler boyunca, simülasyon eğitimini almış ve almamış (deneyimli-deneyimsiz) iki farklı grup üzerinde zihinsel iş yüklerinin çok boyutlu olarak incelenmesi için iki aşamalı bir deneysel süreç yürütülmüştür. Çalışmanın ilk aşamasında simülasyon öncesi katılımcıların reaksiyon süreleri FitLight Trainer sistemi kullanılarak üç farklı protokol üzerinden değerlendirilmiştir. Deneyimli ve deneyimsiz gruplar arasında reaksiyon süreleri bakımından anlamlı bir farklılık gözlenmemiştir. İkinci aşamada ise reaksiyon süreleri homojen olan bu grupların gerçek zamanlı simülasyon senaryolarında yaptıkları hata sayıları ve elde ettikleri performans skorları birbirleri ile kıyaslanmıştır. %90 güven seviyesinde deneyimli grup daha az hata yapmıştır. Ayrıca senaryoların farklı zorluk derecesinde olması hata sayılarında istatistiksel olarak farklılık yaratmıştır. Kolay-orta senaryolarda öğrenciler zor-çok zor senaryolara göre istatistiksel olarak anlamlı derecede daha az hata yapmışlardır. Bununla birlikte performans skorlarının senaryo zorluk derecelerine göre değişimleri incelenmiş ve performans skorları arasında anlamlı farklılık olduğu ortaya çıkmıştır (p-value=0,00 < 0,05). Kolay-orta senaryolarda zor-çok zor senaryolara göre öğrencilerin performans skorları anlamlı derecede yüksek çıkmıştır. Çalışma sonuçlarına göre hata sayıları ve performans skorlarının birbirini desteklediği görülmüştür. Senaryoların zorluk derecelerinin bilişsel iş yüküne (hata sayıları, performans skorları) etkisi olduğu söylenebilir.

Published
2022

38. Predicting the severity of occupational accidents in the construction industry using standard and regularized logistic regression models.

Author

Toptancı, Şura, Erginel, Nihal, and Acar, Ilgın

Subjects
*WORK-related injuries, *CONSTRUCTION industry, *LOGISTIC regression analysis, *VOCATIONAL education, *MACHINE learning
Abstract

Occupational accidents in the construction industry occur more frequently when compared with other industries. Construction occupational accidents still have not been prevented at the desired level. Several studies in the literature have been conducted to predict the occurrence frequency of these accidents using classical statistical and machine-learning techniques. However, some challenges regarding imbalanced and multicollinearity problems present in the dataset are not considered while analyzing data with a large size and a large number of categorical variables. This study aims to predict the severity of nonfatal construction accidents considering mentioned challenges to obtain more accurate results. In this study, standard binary logistic regression, Firth, Ridge, Lasso, and Elastic Net Regularized logistic regression models were used for the prediction of lost workdays in the construction industry and results were compared. The data used were classified into five groups: victim, workplace, accident time, accident and sequence of events, and postaccident state-related variables. The results showed that Firth's logistic model is the best-performing model and age, education, vocational education, workplace size, project type, working environment, accident month and year, general and specific activities, material agent, type of injury, and part of body injured are the most significant variables. This study, by providing interpretable machine learning tools, is the first attempt to use proposed models in the area of construction safety in the literature. [ABSTRACT FROM AUTHOR]

Published
2023
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45. Combining Customer and Sustainability Requirements in Quality Function Deployment for a Composite Aircraft Structure.

Author

Ayber, Sezen and Erginel, Nihal

Subjects
QUALITY function deployment, MANUFACTURING processes, CUSTOMER relations, ENGINEERING, MILITARY airplanes
Abstract

Today, companies that produce economically, taking into account the social and environmental effects of production processes, as well as meeting customer needs, are more successful. Quality Function Deployment (QFD) is a methodology that listens and analyzes customer voices then transforms them to engineering characteristics. In this study, an extended QFD is proposed by considering not only customer needs but also sustainability requirements. While defining the priorities of all requirements, Analytic Hierarchy Process (AHP) is used. The proposed approach is applied for a composite horizontal stabilizer. The horizontal stabilizer is a fixed aircraft wing section that is used to maintain the aircraft in longitudinal balance, provide stability for the aircraft and keep it flying straight. It is a composite-based aircraft component. With the increasing popularity of composite materials for aircraft construction, it is crucial to make suitable product design for customer needs and sustainability requirements. The proposed methodology is appropriate for use in product design to handle customer needs and social, economic, environmental aspects of production together. In literature, integration sustainability with QFD is few studied. New discoveries of the proposed approach are illustrated in detail using a case study of a composite horizontal stabilizer that is used in a military aircraft. [ABSTRACT FROM AUTHOR]

Published
2022

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