Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alma Montserrat Romero-Serrano"'
Autor:
Alma Montserrat Romero-Serrano, Omar Ahumada-Valenzuela, Juan Carlos Leyva-Lopez, Marlenne Gisela Velazquez-Cazares
Publikováno v:
Inquietud Empresarial, Vol 21, Iss 1, Pp 11-33 (2021)
En el problema del diseño del producto, las empresas buscan encontrar configuraciones adecuadas de los atributos del producto con el objetivo de aumentar su participación en el mercado. Este problema pertenece al campo del marketing cuantitativo y
Externí odkaz:
https://doaj.org/article/3635ac8b938f4747b8678e384e5b537a
Autor:
Ernesto Leon-Castro, Fabio Blanco-Mesa, Alma Montserrat Romero-Serrano, Marlenne Velázquez-Cazares
Publikováno v:
Axioms, Vol 10, Iss 2, p 87 (2021)
The main aim is to propose a new method for estimating the Human Development Index using ordered weighted average. To develop this method, ordered weighted geometric average (OWGA), induced OWGA prioritized OWA (POWA) operator are studied. Using Huma
Externí odkaz:
https://doaj.org/article/0a4f7a80b9454c75ba2fc4c6fe8276bd
Autor:
Juan Carlos López, Jesús Jaime Solano Noriega, Alma Montserrat Romero Serrano, Omar Ahumada Valenzuela
Publikováno v:
Operational Research. 22:1-32
The design of new products is a matter of great importance that can directly affect profitability and competitiveness in modern companies. For this reason, the selection of a final product design needs to consider at least four factors of importance:
Autor:
Alma Montserrat Romero-Serrano, Omar Ahumada-Valenzuela, Juan Carlos Leyva-Lopez, Marlenne Gisela Velazquez-Cazares
Publikováno v:
Inquietud Empresarial. 21:11-33
In the product design problem, firms aim to find suitable configurations of product attributes with the objective of increasing their participation in the marketplace. This problem belongs to the field of quantitative marketing and is considered a NP
Autor:
Alma Montserrat Romero-Serrano, Juan Carlos Leyva-Lopez, Leon-Santiesteban Martín, Omar Ahumada-Valenzuela
Publikováno v:
Data Science and Knowledge Engineering for Sensing Decision Support.