학술논문

Stepping Up: Education Department Installs Biometric System to Ensure Based on Complex T-Spherical Hesitant Fuzzy Aczel-Alsina Aggregation Operators
Document Type
Periodical
Source
IEEE Access Access, IEEE. 12:22624-22648 2024
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Uncertainty
Decision making
Education
Biometrics (access control)
Fuzzy sets
Volume measurement
Measurement uncertainty
Complex T-spherical hesitant fuzzy sets
Aczel-Alsina aggregation operators
biometric installation in education departments
decision-making techniques
Language
ISSN
2169-3536
Abstract
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.