Enhancing learning environments with IoT: a novel decision-making approach using probabilistic linguistic T-spherical fuzzy set
The Internet of Things is a system of networked devices that can gather, process, and share data through the Internet. The Internet of Things has vast potential to spread widely across various aspects of our lives. The educational process model is undergoing a transformation in which the learning re...
- Autores:
-
Shafiq, Aqsa
Naz, Sumera
Butt, Shariq Aziz
Piñeres Espitia, Gabriel
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13786
- Acceso en línea:
- https://hdl.handle.net/11323/13786
https://repositorio.cuc.edu.co/
- Palabra clave:
- AHP method
Internet of Things in enhancing learning environments
Probabilistic linguistic T-spherical fuzzy set
Weighted power average operator
Weighted power geometric operator
- Rights
- embargoedAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
| Summary: | The Internet of Things is a system of networked devices that can gather, process, and share data through the Internet. The Internet of Things has vast potential to spread widely across various aspects of our lives. The educational process model is undergoing a transformation in which the learning requirements for different students must be fulfilled in various ways. Our study presents a novel multi-attribute group decision-making strategy that examines how the Internet of Things can help to provide the best learning environment while also making the educational process more effective. The probabilistic linguistic T-spherical fuzzy set (PLT-SFS) is a modification of the T-spherical fuzzy set in which the degrees of membership, abstinence, and non-membership are characterized by probabilistic linguistic terms. Then two new aggregation operators, the PLT-SF weighted power average (PLT-SFWPA) operator and the PLT-SF weighted power geometric (PLT-SFWPG) operator, are introduced. After that, an approach to multi-attribute group decision-making based on the analytic hierarchy process is constructed in which the data are aggregated by the PLT-SFWPA operator. To illustrate the validity of the proposed approach, a case study of nine Internet of Things applications for enhancing learning environments is provided. |
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