[ Operador media potencia pesada lingüística y su aplicación en la toma de decisiones ]
Volume 22, Issue 1, December 2017, Pages 38–43
Salah Hasan Saleh Al-Subhi1, Gaafar Sadeq Saeed Mahdi2, Milton Villegas Alava3, Miton Pedro Yobanis Piñero Pérez4, and Maikel Leyva Vázquez5
1 Universidad de las Ciencias Informáticas, La Habana, Cuba
2 Universidad de las Ciencias Informáticas, La Habana, Cuba
3 Universidad de Guayaquil, Facultad de Ciencias Administrativas, Guayaquil, Ecuador
4 Universidad de las Ciencias Informáticas, La Habana, Cuba
5 Facultad de Ciencias Matemáticas y Físicas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
Original language: Spanish
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
A number of aggregation operators have been proposed. Traditional approaches do not perform aggregation of criteria with sufficient flexibility and adaptability to the specific contexts of organizations. In this paper we propose a decision making method using linguistic power means operators for hierarchical aggregation process of information. The proposal allows the inclusion of aspects such as the importance of the criteria and simultaneity. To demonstrate the applicability of the proposal, a case study is developed. The paper ends with further work recommendations for extending the method.
Author Keywords: aggregation operators, decision-making, WP, Linguistic 2-tuples.
Volume 22, Issue 1, December 2017, Pages 38–43
Salah Hasan Saleh Al-Subhi1, Gaafar Sadeq Saeed Mahdi2, Milton Villegas Alava3, Miton Pedro Yobanis Piñero Pérez4, and Maikel Leyva Vázquez5
1 Universidad de las Ciencias Informáticas, La Habana, Cuba
2 Universidad de las Ciencias Informáticas, La Habana, Cuba
3 Universidad de Guayaquil, Facultad de Ciencias Administrativas, Guayaquil, Ecuador
4 Universidad de las Ciencias Informáticas, La Habana, Cuba
5 Facultad de Ciencias Matemáticas y Físicas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
Original language: Spanish
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
A number of aggregation operators have been proposed. Traditional approaches do not perform aggregation of criteria with sufficient flexibility and adaptability to the specific contexts of organizations. In this paper we propose a decision making method using linguistic power means operators for hierarchical aggregation process of information. The proposal allows the inclusion of aspects such as the importance of the criteria and simultaneity. To demonstrate the applicability of the proposal, a case study is developed. The paper ends with further work recommendations for extending the method.
Author Keywords: aggregation operators, decision-making, WP, Linguistic 2-tuples.
Abstract: (spanish)
Un grupo de operadores de agregación han sido propuestos en la literatura. En los modelos existente falta la suficiente flexibilidad y adaptabilidad a los contextos específicos de las organizaciones. En el presente trabajo se propone un método para la toma de decisiones que hace uso de los operadores de agregación de forma jerárquica utilizando el modelo de las 2-tuplas lingüísticas. La propuesta permite la inclusión de aspectos tales como la importancia de los criterios y la simultaneidad. Un estudio de caso muestra aplicabilidad de la propuesta. El artículo finaliza con propuestas de trabajos futuros que contribuyan a la aplicabilidad del método.
Author Keywords: Modelo de Puntación Lógica de Preferencias, operadores de agregación, WPM, 2-tuplas lingüísticas.
How to Cite this Article
Salah Hasan Saleh Al-Subhi, Gaafar Sadeq Saeed Mahdi, Milton Villegas Alava, Miton Pedro Yobanis Piñero Pérez, and Maikel Leyva Vázquez, “Linguistic weighted power means and its application for decision-making,” International Journal of Innovation and Applied Studies, vol. 22, no. 1, pp. 38–43, December 2017.
