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Un enfoque novedoso de toma de decisiones en grupo basado en tensores difusos con aplicación a la evaluación de redes
Muhammad Bilal1, Ioan Lucian-Popa2,3
1School of Mathematics and Statistics, Yunnan University, Kunming, 650106, China. bilalmaths28@gmail.com.
Scientific reports
|August 21, 2025
Resumen
Este estudio presenta el Tensor Fuzzy Hesitante (HFT), un nuevo método para manejar la incertidumbre en las decisiones de los expertos. HFT analiza efectivamente datos complejos para una mejor toma de decisiones en grupo en entornos inciertos.
Área de la Ciencia:
- Ciencias de la decisión
- Teoría de la información
- Ciencias de la computación
Sus antecedentes:
- Los modelos tradicionales de decisión luchan con la vaguedad y la vacilación de los expertos.
- La representación de opiniones expertas múltiples e inciertas requiere marcos avanzados.
Objetivo del estudio:
- Introducir el Tensor Fuzzy Hesitante (HFT) como una nueva herramienta multidimensional.
- Desarrollar los fundamentos teóricos y un algoritmo de toma de decisiones para HFT.
- Aplicar HFT para optimizar la selección de la red de comunicación inalámbrica heterogénea.
Principales métodos:
- Definición formal y desarrollo de las operaciones de Tensor Fuzzy Hesitante (HFT).
- Formulación de un algoritmo de toma de decisiones de grupo utilizando operadores de agregación de HFT.
- Evaluación empírica del HFT en la selección de las redes de comunicación inalámbricas.
Principales resultados:
- HFT captura y representa efectivamente la vacilación en los juicios de expertos.
- El algoritmo basado en HFT demuestra robustez e interpretabilidad.
- Aplicación exitosa en la selección de redes inalámbricas óptimas bajo incertidumbre.
Conclusiones:
- HFT proporciona una herramienta escalable y realista para el análisis de decisiones basado en la incertidumbre.
- Esta investigación hace avanzar modelos difusos vacilantes para dominios tecnológicos complejos.
- El marco propuesto mejora la toma de decisiones en grupo en entornos inciertos.
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