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An Evaluation of Turkey's NUTS Level 1 Regions According to Banking Sector With MULTIMOORA Method

An Evaluation of Turkey's NUTS Level 1 Regions According to Banking Sector With MULTIMOORA Method

Onur Önay
Copyright: © 2017 |Pages: 21
ISBN13: 9781522521488|ISBN10: 1522521488|EISBN13: 9781522521495
DOI: 10.4018/978-1-5225-2148-8.ch002
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MLA

Önay, Onur. "An Evaluation of Turkey's NUTS Level 1 Regions According to Banking Sector With MULTIMOORA Method." Applying Predictive Analytics Within the Service Sector, edited by Rajendra Sahu, et al., IGI Global, 2017, pp. 13-33. https://doi.org/10.4018/978-1-5225-2148-8.ch002

APA

Önay, O. (2017). An Evaluation of Turkey's NUTS Level 1 Regions According to Banking Sector With MULTIMOORA Method. In R. Sahu, M. Dash, & A. Kumar (Eds.), Applying Predictive Analytics Within the Service Sector (pp. 13-33). IGI Global. https://doi.org/10.4018/978-1-5225-2148-8.ch002

Chicago

Önay, Onur. "An Evaluation of Turkey's NUTS Level 1 Regions According to Banking Sector With MULTIMOORA Method." In Applying Predictive Analytics Within the Service Sector, edited by Rajendra Sahu, Manoj Dash, and Anil Kumar, 13-33. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2148-8.ch002

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Abstract

In the study, The Nomenclature of Territorial Units for Statistics (NUTS) Level 1 regions of Turkey are evaluated with MULTIMOORA Method according to banking sector using hypothetical data which are adapted from real world data. There are 12 regions as alternatives which are assessed with 6 objectives. Calculations are made by using MS Excel which is powerful spreadsheet software. This application is an example how multi criteria decision making methods can use when a manager making decision. Results are given as lists of regions ranking and commented. By this way, it is shown that how the multi criteria decision making methods can help to decision makers.

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