http://hdl.handle.net/20.500.12627/250 Fri, 01 May 2026 05:10:57 GMT 2026-05-01T05:10:57Z http://hdl.handle.net/20.500.12627/185536 Tiny House Fri, 12 Feb 2010 00:00:00 GMT http://hdl.handle.net/20.500.12627/185536 2010-02-12T00:00:00Z http://hdl.handle.net/20.500.12627/185535 Akustik Sünger Ses yalıtımı Mon, 25 Dec 2000 00:00:00 GMT http://hdl.handle.net/20.500.12627/185535 2000-12-25T00:00:00Z http://hdl.handle.net/20.500.12627/167873 Gülüş Estetiği Gülüş Tasarımı Doktoru; https://dentnis.com Fri, 01 Jan 2021 00:00:00 GMT http://hdl.handle.net/20.500.12627/167873 2021-01-01T00:00:00Z http://hdl.handle.net/20.500.12627/167871 NEURO FUZZY DATA ENVELOPMENT ANALYSIS ALİ NARİN This book is a review study focusing on the methodology of Data Envelopment Analysis. Neuro-fuzzy data envelopment analysis is a one of the most important method to forecast data efficiency. In this book, we will first present briefly fuzzy logic, Data Envelopment Analysis method and its neuro fuzzy data envelopment extension including methods applied to banking sector. This research was conducted using 4 bank branches data between 2010-2014 years to forecast efficiency of 2015 year data.Secondly, the fuzzy logic, fuzzy sets, artificial neural network and also membership functions are explained. The main goal of this thesis is the use of fuzzy method and artificial neural network method to estimate forecasting future of fuzzy data.Finally, we propose and test a 4 bank branches DEA models that aims to forecast efficiency data of 2015 year. This book is a review study focusing on the methodology of Data Envelopment Analysis. Neuro-fuzzy data envelopment analysis is a one of the most important method to forecast data efficiency. In this book, we will first present briefly fuzzy logic, Data Envelopment Analysis method and its neuro fuzzy data envelopment extension including methods applied to banking sector. This research was conducted using 4 bank branches data between 2010-2014 years to forecast efficiency of 2015 year data.Secondly, the fuzzy logic, fuzzy sets, artificial neural network and also membership functions are explained. The main goal of this thesis is the use of fuzzy method and artificial neural network method to estimate forecasting future of fuzzy data.Finally, we propose and test a 4 bank branches DEA models that aims to forecast efficiency data of 2015 year. Fri, 01 Jan 2021 00:00:00 GMT http://hdl.handle.net/20.500.12627/167871 2021-01-01T00:00:00Z