Identifying Indicators of Global Financial Crisis with Fuzzy Logic and Data Science: A Comparative Analysis Between Developing and Developed Economies-Reference-Cited by-同舟云学术

Identifying Indicators of Global Financial Crisis with Fuzzy Logic and Data Science: A Comparative Analysis Between Developing and Developed Economies

Published:2021 Issue: Volume: Page:17-53
ISSN:2366-0023
Container-title:Data Science and Multiple Criteria Decision Making Approaches in Finance
language:
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Author:

Silahtaroğlu Gökhan^ORCID,Dinçer Hasan^ORCID,Yüksel Serhat^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-74176-1_2

Reference112 articles.

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4. Alessandri, P., & Mumtaz, H. (2017). Financial conditions and density forecasts for US output and inflation. Review of Economic Dynamics, 24, 66–78.

5. An, G., Becker, C. M., & Cheng, E. (2017). Economic crisis, income gaps, uncertainty, and inter-regional migration responses: Kazakhstan 2000–2014. The Journal of Development Studies, 53(9), 1452–1470.

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