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

Masfa Nasrullah Ansari1, Abdul Razaq2, Abdul Wakil Baidar3

  • 1Department of Mathematics, Government College University, Faisalabad, 38000, Pakistan.

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Summary
This summary is machine-generated.

This study introduces new dynamic aggregation operators for complex spherical fuzzy sets to improve decision-making in selecting biohybrid robot actuators. These methods enhance precision and handle inconsistent data for better robot design.

Keywords:
Actuator selectionBiohybrid robotsComplex spherical fuzzy setsDynamic aggregation operatorsFuzzy logicMultiple criteria decision-making

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Fuzzy Set Theory

Background:

  • Selecting efficient actuators for biohybrid robots requires robust decision-making.
  • Existing methods struggle with time-dependent data and complex uncertainties.
  • Complex spherical fuzzy sets (CSFSs) offer a framework for spherical uncertainty and periodicity.

Purpose of the Study:

  • To introduce novel dynamic aggregation operators for CSFSs.
  • To develop a methodical strategy for multiple criteria decision-making (MCDM) in actuator selection.
  • To address challenges posed by inconsistent data in biohybrid robot actuator selection.

Main Methods:

  • Introduction of the complex spherical fuzzy dynamic Yager weighted averaging (CSFDYWA) operator.
  • Introduction of the complex spherical fuzzy dynamic Yager weighted geometric (CSFDYWG) operator.
  • Development of an enhanced score function for the CSF framework.
  • Application of proposed operators to MCDM for actuator selection in biohybrid robots.

Main Results:

  • Defined characteristics of the novel CSFDYWA and CSFDYWG operators.
  • An enhanced score function was devised to improve upon existing CSF score functions.
  • The proposed methodologies effectively address MCDM problems with inconsistent data.
  • Demonstrated efficacy in selecting actuators for biohybrid robots modeling human movement.

Conclusions:

  • The proposed CSFDYWA and CSFDYWG operators provide a flexible and consistent approach to decision-making under uncertainty.
  • The enhanced score function and MCDM strategy offer a reliable method for selecting optimal actuators for biohybrid robots.
  • The study validates the proposed methodologies through comparative analysis, showing significant improvements over existing procedures.