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NEURO FUZZY DATA ENVELOPMENT ANALYSIS

dc.contributor.authorALİ NARİN
dc.date.accessioned2021-04-29T10:19:16Z
dc.date.available2021-04-29T10:19:16Z
dc.date.issued2021
dc.identifier.citationThis 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.tr_TR
dc.identifier.urihttps://dentnis.com
dc.identifier.urihttp://hdl.handle.net/20.500.12627/167871
dc.descriptionThis 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.tr_TR
dc.description.abstractThis 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.tr_TR
dc.description.sponsorshipThis 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.tr_TR
dc.description.tableofcontentsThis 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.tr_TR
dc.language.isoengtr_TR
dc.publisherSCRİPTtr_TR
dc.relation.ispartofseriesE-BOOK;2021
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectNEUROFUZZYDATAtr_TR
dc.titleNEURO FUZZY DATA ENVELOPMENT ANALYSIStr_TR
dc.typemasterThesistr_TR
dc.description.versionELEKTRONİK BOOKtr_TR
dc.contributor.departmentBölüm Yoktr_TR
dc.contributor.authorID0000-0002-0038-8100tr_TR
dc.relation.ecINTERNATIONAL BALKAN UNIVERSITY


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