Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jul 7;15(1):24309.
doi: 10.1038/s41598-025-07500-w.

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

Masfa Nasrullah Ansari  1 , Abdul Razaq  2 , Abdul Wakil Baidar  3 , Dilshad Alghazzawi  4 , Ghaliah Alhamzi  5
Affiliations

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

Masfa Nasrullah Ansari et al. Sci Rep. .

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 spherical fuzzy sets (CSFSs) adequately resolve multifaceted issue formulations characterized by spherical uncertainty and periodicity. This paper introduces two innovative AOs, namely, the complex spherical fuzzy dynamic Yager weighted averaging (CSFDYWA) operator and the complex spherical fuzzy dynamic Yager weighted geometric (CSFDYWG) operator. Notable characteristics of these operators are defined, and an enhanced score function is devised to rectify the deficiencies identified in the current score function in the CSF framework. In addition, the proposed operators are implemented to develop a methodical strategy for the multiple criteria decision-making (MCDM) situations to address the difficulties posed by inconsistent data during the selection procedure. These methodologies are also adeptly employed to address the MCDM problem, aiming to identify the most suitable actuator designed for precisely modelling human movement for biohybrid robots in CSF environment. Moreover, a comparative study is conducted to highlight the efficacy and legitimacy of the proposed methodologies in relation to the existing procedures.

Keywords: Actuator selection; Biohybrid robots; Complex spherical fuzzy sets; Dynamic aggregation operators; Fuzzy logic; Multiple criteria decision-making.

PubMed Disclaimer

Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Diagrammatical view of the algorithm using proposed strategies.
Fig. 2
Fig. 2
Diagrammatical view of ranking of the alternatives using different operators.
See this image and copyright information in PMC

References

    1. Zadeh, L. A. Fuzzy sets. Inf. Control8, 338–353 (1965).
    1. Yager, R. R. Aggregation operators and fuzzy systems modeling. Fuzzy Sets and Syst.67, 129–146 (1994).
    1. Atanassov, K. Intuitionistic fuzzy sets. Fuzzy Sets Syst.20, 87–96 (1986).
    1. Xu, Z. Intuitionistic fuzzy aggregation operators. IEEE Trans. Fuzzy Syst.14, 1179–1187 (2008).
    1. Wei, G. W. Some geometric aggregation functions and their application to dynamic multiple attribute decision making in the intuitionistic fuzzy setting. Int. J. Uncertain. Fuzziness Knowl.-Based Syst.17, 179–196 (2009).

LinkOut - more resources