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: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2024
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| Subjects: | |
| Online Access: | 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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