IEEE Access (Jan 2024)

Stepping Up: Education Department Installs Biometric System to Ensure Based on Complex T-Spherical Hesitant Fuzzy Aczel-Alsina Aggregation Operators

  • Lijun Ma,
  • Kinza Javed,
  • Zeeshan Ali,
  • Shi Yin

DOI
https://doi.org/10.1109/ACCESS.2024.3359904
Journal volume & issue
Vol. 12
pp. 22624 – 22648

Abstract

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The installation of biomatrix systems in educational departments are very awkward and complicated task because many employees are biased. The major influence of this manuscript is to evaluate the idea of a complex T-spherical hesitant fuzzy (CTSHF) set and its dominant and flexible operational laws. Furthermore, it is also very complicated to evaluate the idea of Aczel-Alsina aggregation operators based on CTSHF information, for this, first, we derive Aczel-Alsina operational laws under the consideration of the CTSHF values, and then we propose the CTSHF Aczel-Alsina weighted averaging (CTSHFAAWA) operator, CTSHF Aczel-Alsina ordered weighted averaging (CTSHFAAOWA) operator, CTSHF Aczel-Alsina weighted geometric (CTSHFAAWG) operator, CTSHF Aczel-Alsina ordered weighted geometric (CTSHFAAOWG) operator, and simplify their properties, called idempotency, monotonicity, and boundedness. Additionally, to find the major factor of the installation of the biometric systems in the education department based on the proposed operators, we demonstrate the procedure of multi-attribute decision-making (MADM) problems based on the derived operators. In the end, we compare the ranking values of the proposed techniques with the obtained results of prevailing methods to enhance the worth of the proposed operators.

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