Portfolio optimization with percentage error-based fuzzy random data for industrial production

Data-driven decision-making processes are pervasive in various domains, yet the inherent uncertainties within observational and measurement data can lead to misleading outcomes, particularly in portfolio selection where randomness may seem ambiguous. While existing methodologies recognize the signif...

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Main Authors: Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun
格式: Conference or Workshop Item
語言:English
出版: 2024
主題:
在線閱讀:http://eprints.uthm.edu.my/11940/1/P17175_5d94fbdfb197989a8805796c3ad99fe0.pdf
http://eprints.uthm.edu.my/11940/
https://doi.org/10.1007/978-3-031-66965-1_39
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