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17 results on '"Esra Albayrak, Y."'

1. Human Reliability Analysis in Healthcare: A Scenario Analysis

Author

Naskali, Yeşim Kop, Gürbüz, Tuncay, Esra Albayrak, Y., 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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2. Performance Indicators Evaluation of Business Process Outsourcing Employing Fuzzy Cognitive Map

Author

Goker, Nazli, Esra Albayrak, Y., Dursun, Mehtap, 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, Aliev, Rafik A., editor, Pedrycz, Witold, editor, Jamshidi, Mo., editor, and Sadikoglu, Fahreddin M., editor

Published
2019
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3. A Computational-Intelligence Based Approach to Diagnosis of Diabetes Mellitus Disease

Author

Dogu, Elif, Esra Albayrak, Y., 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, Aliev, Rafik A., editor, Pedrycz, Witold, editor, Jamshidi, Mo., editor, and Sadikoglu, Fahreddin M., editor

Published
2019
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4. Facility Location Selection Employing Fuzzy DEA and Fuzzy Goal Programming Techniques

Author

Cedolin, Michele, Göker, Nazlı, Dogu, Elif, Esra Albayrak, Y., 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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12. Artificial intelligence based prediction models: sales forecasting application in automotive aftermarket.

Author

Türkbayrağí, Mert Girayhan, Dogu, Elif, and Esra Albayrak, Y.

Subjects
ARTIFICIAL intelligence, SALES forecasting, PREDICTION models, AUTOMOBILE sales & prices, FORECASTING, COMPUTATIONAL intelligence, ARTIFICIAL neural networks, AUTOMOBILE industry
Abstract

Automotive aftermarket industry is possessed of a wide product portfolio range which is in the 4th rank by its worldwide trade volume. The demand characteristic of automotive aftermarket parts is volatile and uncertain. Nevertheless, the cause-and-effect relationship of automotive aftermarket industry has not been defined obviously heretofore. These conditions bring automotive aftermarket sales forecasting into a challenging process. This paper is composed to determine the relevant external factors for automotive aftermarket sales based on expert reviews and to propose a sales forecasting model for automotive aftermarket industry. Since computational intelligence techniques yield a framework to focus on predictive analytics and prescriptive analytics, an artificial neural network model constructed for Turkey automotive aftermarket industry. Artificial intelligence is a subset of computational intelligence that focused on problems which have complex and nonlinear relationships. The data which have complex and nonlinear relationships could be modelled successfully even though incomplete data in case of implementation of appropriate model. The proposed ANN model for sales forecast is compared with multiple linear regression and revealed a higher prediction performance. [ABSTRACT FROM AUTHOR]

Published
2022
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