Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge

Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge

Abstract The selection of the most efficient actuator for biohybrid robots necessitates the implementation of precise and reliable decision-making (DM) methods. Dynamic aggregation operators (AOs) provide flexibility and consistency in DM by embracing time-dependent changes in data. The complex sphe...

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Bibliographic Details
Main Authors: Masfa Nasrullah Ansari, Abdul Razaq, Abdul Wakil Baidar, Dilshad Alghazzawi, Ghaliah Alhamzi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Fuzzy logic
Complex spherical fuzzy sets
Multiple criteria decision-making
Dynamic aggregation operators
Biohybrid robots
Actuator selection
Online Access:https://doi.org/10.1038/s41598-025-07500-w
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https://doi.org/10.1038/s41598-025-07500-w

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